Tim Kraska

According to our database, Tim Kraska authored at least 191 papers between 2006 and 2024.

Collaborative distances:

• Dijkstra number of three.
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2024

PipeRAG: Fast Retrieval-Augmented Generation via Algorithm-System Co-design.

Wenqi Jiang, Shuai Zhang, Boran Han, Jie Wang, Bernie Wang, Tim Kraska

CoRR, 2024

Stage: Query Execution Time Prediction in Amazon Redshift.

Ziniu Wu, Ryan Marcus, Zhengchun Liu, Parimarjan Negi, Vikram Nathan, Pascal Pfeil, Gaurav Saxena, Mohammad Rahman, Balakrishnan Narayanaswamy, Tim Kraska

CoRR, 2024

Panda: Performance Debugging for Databases using LLM Agents.

Vikramank Y. Singh, Kapil Vaidya, Vinayshekhar Bannihatti Kumar, Sopan Khosla, Balakrishnan Narayanaswamy, Rashmi Gangadharaiah, Tim Kraska

Proceedings of the 14th Conference on Innovative Data Systems Research, 2024

2023

Technical Perspective for Sherman: A Write-Optimized Distributed B+Tree Index on Disaggregated Memory.

Tim Kraska

SIGMOD Rec., 2023

The Case for Learned In-Memory Joins.

Ibrahim Sabek, Tim Kraska

Proc. VLDB Endow., 2023

Robust Query Driven Cardinality Estimation under Changing Workloads.

Parimarjan Negi, Ziniu Wu, Andreas Kipf, Nesime Tatbul, Ryan Marcus, Sam Madden, Tim Kraska, Mohammad Alizadeh

Proc. VLDB Endow., 2023

Check Out the Big Brain on BRAD: Simplifying Cloud Data Processing with Learned Automated Data Meshes.

Tim Kraska, Tianyu Li, Samuel Madden, Markos Markakis, Amadou Ngom, Ziniu Wu, Geoffrey X. Yu

Proc. VLDB Endow., 2023

Extract-Transform-Load for Video Streams.

Ferdinand Kossmann, Ziniu Wu, Eugenie Lai, Nesime Tatbul, Lei Cao, Tim Kraska, Sam Madden

Proc. VLDB Endow., 2023

FactorJoin: A New Cardinality Estimation Framework for Join Queries.

Ziniu Wu, Parimarjan Negi, Mohammad Alizadeh, Tim Kraska, Samuel Madden

Proc. ACM Manag. Data, 2023

SEED: Simple, Efficient, and Effective Data Management via Large Language Models.

Zui Chen, Lei Cao, Sam Madden, Ju Fan, Nan Tang, Zihui Gu, Zeyuan Shang, Chunwei Liu, Michael J. Cafarella, Tim Kraska

CoRR, 2023

Parallel External Sorting of ASCII Records Using Learned Models.

Ani Kristo, Tim Kraska

CoRR, 2023

Hyperspecialized Compilation for Serverless Data Analytics.

Leonhard F. Spiegelberg, Tim Kraska, Malte Schwarzkopf

Proceedings of the Joint Proceedings of Workshops at the 49th International Conference on Very Large Data Bases (VLDB 2023), Vancouver, Canada, August 28, 2023

CorBit: Leveraging Correlations for Compressing Bitmap Indexes.

Xi Lyu, Andreas Kipf, Pascal Pfeil, Dominik Horn, Jana Giceva, Tim Kraska

Proceedings of the Joint Proceedings of Workshops at the 49th International Conference on Very Large Data Bases (VLDB 2023), Vancouver, Canada, August 28, 2023

Auto-WLM: Machine Learning Enhanced Workload Management in Amazon Redshift.

Gaurav Saxena, Mohammad Rahman, Naresh Chainani, Chunbin Lin, George Caragea, Fahim Chowdhury, Ryan Marcus, Tim Kraska, Ippokratis Pandis, Balakrishnan (Murali) Narayanaswamy

Proceedings of the Companion of the 2023 International Conference on Management of Data, 2023

Unshackling Database Benchmarking from Synthetic Workloads.

Parimarjan Negi, Laurent Bindschaedler, Mohammad Alizadeh, Tim Kraska, Jyoti Leeka, Anja Gruenheid, Matteo Interlandi

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

2022

Bao: Making Learned Query Optimization Practical.

Ryan Marcus, Parimarjan Negi, Hongzi Mao, Nesime Tatbul, Mohammad Alizadeh, Tim Kraska

SIGMOD Rec., 2022

TreeLine: An Update-In-Place Key-Value Store for Modern Storage.

Geoffrey X. Yu, Markos Markakis, Andreas Kipf, Per-Åke Larson, Umar Farooq Minhas, Tim Kraska

Proc. VLDB Endow., 2022

SNARF: A Learning-Enhanced Range Filter.

Kapil Vaidya, Tim Kraska, Subarna Chatterjee, Eric R. Knorr, Michael Mitzenmacher, Stratos Idreos

Proc. VLDB Endow., 2022

Can Learned Models Replace Hash Functions?

Ibrahim Sabek, Kapil Vaidya, Dominik Horn, Andreas Kipf, Michael Mitzenmacher, Tim Kraska

Proc. VLDB Endow., 2022

SageDB: An Instance-Optimized Data Analytics System.

Jialin Ding, Ryan Marcus, Andreas Kipf, Vikram Nathan, Aniruddha Nrusimha, Kapil Vaidya, Alexander van Renen, Tim Kraska

Proc. VLDB Endow., 2022

LSched: A Workload-Aware Learned Query Scheduler for Analytical Database Systems.

Ibrahim Sabek, Tenzin Samten Ukyab, Tim Kraska

Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022

LSI: a learned secondary index structure.

Andreas Kipf, Dominik Horn, Pascal Pfeil, Ryan Marcus, Tim Kraska

Proceedings of the aiDM '22: Proceedings of the Fifth International Workshop on Exploiting Artificial Intelligence Techniques for Data Management, 2022

ExSample: Efficient Searches on Video Repositories through Adaptive Sampling.

Oscar R. Moll, Favyen Bastani, Sam Madden, Mike Stonebraker, Vijay Gadepally, Tim Kraska

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

Self-Organizing Data Containers.

Samuel Madden, Jialin Ding, Tim Kraska, Sivaprasad Sudhir, David E. Cohen, Timothy G. Mattson, Nesime Tatbul

Proceedings of the 12th Conference on Innovative Data Systems Research, 2022

2021

Chiller: Contention-centric Transaction Execution and Data Partitioning for Modern Networks.

Erfan Zamanian, Julian Shun, Carsten Binnig, Tim Kraska

SIGMOD Rec., 2021

DBOS: A DBMS-oriented Operating System.

Athinagoras Skiadopoulos, Qian Li, Peter Kraft, Kostis Kaffes, Daniel Hong, Shana Mathew, David Bestor, Michael J. Cafarella, Vijay Gadepally, Goetz Graefe, Jeremy Kepner, Christos Kozyrakis, Tim Kraska, Michael Stonebraker, Lalith Suresh, Matei Zaharia

Proc. VLDB Endow., 2021

Davos: A System for Interactive Data-Driven Decision Making.

Zeyuan Shang, Emanuel Zgraggen, Benedetto Buratti, Philipp Eichmann, Navid Karimeddiny, Charlie Meyer, Wesley Runnels, Tim Kraska

Proc. VLDB Endow., 2021

Flow-Loss: Learning Cardinality Estimates That Matter.

Parimarjan Negi, Ryan Marcus, Andreas Kipf, Hongzi Mao, Nesime Tatbul, Tim Kraska, Mohammad Alizadeh

Proc. VLDB Endow., 2021

Towards instance-optimized data systems.

Tim Kraska

Proc. VLDB Endow., 2021

ML-In-Databases: Assessment and Prognosis.

Tim Kraska, Umar Farooq Minhas, Thomas Neumann, Olga Papaemmanouil, Jignesh M. Patel, Christopher Ré, Michael Stonebraker

IEEE Data Eng. Bull., 2021

Bounding the Last Mile: Efficient Learned String Indexing.

Benjamin Spector, Andreas Kipf, Kapil Vaidya, Chi Wang, Umar Farooq Minhas, Tim Kraska

CoRR, 2021

PLEX: Towards Practical Learned Indexing.

Mihail Stoian, Andreas Kipf, Ryan Marcus, Tim Kraska

CoRR, 2021

Defeating duplicates: A re-design of the LearnedSort algorithm.

Ani Kristo, Kapil Vaidya, Tim Kraska

CoRR, 2021

When Are Learned Models Better Than Hash Functions?

Ibrahim Sabek, Kapil Vaidya, Dominik Horn, Andreas Kipf, Tim Kraska

CoRR, 2021

SkyQuery: An Aerial Drone Video Sensing Platform.

Favyen Bastani, Songtao He, Ziwen Jiang, Osbert Bastani, Michael J. Cafarella, Tim Kraska, Sam Madden

CoRR, 2021

TagMe: GPS-Assisted Automatic Object Annotation in Videos.

Songtao He, Favyen Bastani, Mohammad Alizadeh, Hari Balakrishnan, Michael J. Cafarella, Tim Kraska, Sam Madden

CoRR, 2021

Living in a Candy Store - from being a PhD Student to Working as a Faculty Member on ML for Systems.

Tim Kraska

Proceedings of the VLDB 2021 PhD Workshop co-located with the 47th International Conference on Very Large Databases (VLDB 2021), 2021

Tuplex: Data Science in Python at Native Code Speed.

Leonhard F. Spiegelberg, Rahul Yesantharao, Malte Schwarzkopf, Tim Kraska

Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021

Steering Query Optimizers: A Practical Take on Big Data Workloads.

Parimarjan Negi, Matteo Interlandi, Ryan Marcus, Mohammad Alizadeh, Tim Kraska, Marc T. Friedman, Alekh Jindal

Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021

Instance-Optimized Data Layouts for Cloud Analytics Workloads.

Jialin Ding, Umar Farooq Minhas, Badrish Chandramouli, Chi Wang, Yinan Li, Ying Li, Donald Kossmann, Johannes Gehrke, Tim Kraska

Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021

LEA: A Learned Encoding Advisor for Column Stores.

Lujing Cen, Andreas Kipf, Ryan Marcus, Tim Kraska

Proceedings of the aiDM '21: Fourth Workshop in Exploiting AI Techniques for Data Management, 2021

Partitioned Learned Bloom Filters.

Kapil Vaidya, Eric Knorr, Michael Mitzenmacher, Tim Kraska

Proceedings of the 9th International Conference on Learning Representations, 2021

Towards a Benchmark for Learned Systems.

Laurent Bindschaedler, Andreas Kipf, Tim Kraska, Ryan Marcus, Umar Farooq Minhas

Proceedings of the 37th IEEE International Conference on Data Engineering Workshops, 2021

2020

Automated Data Slicing for Model Validation: A Big Data - AI Integration Approach.

Yeounoh Chung, Tim Kraska, Neoklis Polyzotis, Ki Hyun Tae, Steven Euijong Whang

IEEE Trans. Knowl. Data Eng., 2020

Poly'19 Workshop Summary: GDPR.

Michael Stonebraker, Timothy G. Mattson, Tim Kraska, Vijay Gadepally

SIGMOD Rec., 2020

Benchmarking Learned Indexes.

Ryan Marcus, Andreas Kipf, Alexander van Renen, Mihail Stoian, Sanchit Misra, Alfons Kemper, Thomas Neumann, Tim Kraska

Proc. VLDB Endow., 2020

Tsunami: A Learned Multi-dimensional Index for Correlated Data and Skewed Workloads.

Jialin Ding, Vikram Nathan, Mohammad Alizadeh, Tim Kraska

Proc. VLDB Endow., 2020

ARDA: Automatic Relational Data Augmentation for Machine Learning.

Nadiia Chepurko, Ryan Marcus, Emanuel Zgraggen, Raul Castro Fernandez, Tim Kraska, David R. Karger

Proc. VLDB Endow., 2020

Learned Indexes for a Google-scale Disk-based Database.

Hussam Abu-Libdeh, Deniz Altinbüken, Alex Beutel, Ed H. Chi, Lyric Doshi, Tim Kraska, Xiaozhou Li, Andy Ly, Christopher Olston

CoRR, 2020

Cortex: Harnessing Correlations to Boost Query Performance.

Vikram Nathan, Jialin Ding, Tim Kraska, Mohammad Alizadeh

CoRR, 2020

DBOS: A Proposal for a Data-Centric Operating System.

Michael J. Cafarella, David J. DeWitt, Vijay Gadepally, Jeremy Kepner, Christos Kozyrakis, Tim Kraska, Michael Stonebraker, Matei Zaharia

CoRR, 2020

MISIM: An End-to-End Neural Code Similarity System.

Fangke Ye, Shengtian Zhou, Anand Venkat, Ryan Marcus, Nesime Tatbul, Jesmin Jahan Tithi, Paul Petersen, Timothy G. Mattson, Tim Kraska, Pradeep Dubey, Vivek Sarkar, Justin Gottschlich

CoRR, 2020

Partitioned Learned Bloom Filter.

Kapil Vaidya, Eric Knorr, Tim Kraska, Michael Mitzenmacher

CoRR, 2020

Fast Mapping onto Census Blocks.

Jeremy Kepner, Darren Engwirda, Vijay Gadepally, Chris Hill, Tim Kraska, Michael Jones, Andreas Kipf, Lauren Milechin, Navin Vembar

CoRR, 2020

Bao: Learning to Steer Query Optimizers.

Ryan Marcus, Parimarjan Negi, Hongzi Mao, Nesime Tatbul, Mohammad Alizadeh, Tim Kraska

CoRR, 2020

Context-Aware Parse Trees.

Fangke Ye, Shengtian Zhou, Anand Venkat, Ryan Marcus, Paul Petersen, Jesmin Jahan Tithi, Tim Mattson, Tim Kraska, Pradeep Dubey, Vivek Sarkar, Justin Gottschlich

CoRR, 2020

Learning Multi-Dimensional Indexes.

Vikram Nathan, Jialin Ding, Mohammad Alizadeh, Tim Kraska

Proceedings of the 2020 International Conference on Management of Data, 2020

CDFShop: Exploring and Optimizing Learned Index Structures.

Ryan Marcus, Emily Zhang, Tim Kraska

Proceedings of the 2020 International Conference on Management of Data, 2020

The Case for a Learned Sorting Algorithm.

Ani Kristo, Kapil Vaidya, Ugur Çetintemel, Sanchit Misra, Tim Kraska

Proceedings of the 2020 International Conference on Management of Data, 2020

RadixSpline: a single-pass learned index.

Andreas Kipf, Ryan Marcus, Alexander van Renen, Mihail Stoian, Alfons Kemper, Tim Kraska, Thomas Neumann

Proceedings of the Third International Workshop on Exploiting Artificial Intelligence Techniques for Data Management, 2020

DB4ML - An In-Memory Database Kernel with Machine Learning Support.

Matthias Jasny, Tobias Ziegler, Tim Kraska, Uwe Röhm, Carsten Binnig

Proceedings of the 2020 International Conference on Management of Data, 2020

IDEBench: A Benchmark for Interactive Data Exploration.

Philipp Eichmann, Emanuel Zgraggen, Carsten Binnig, Tim Kraska

Proceedings of the 2020 International Conference on Management of Data, 2020

ALEX: An Updatable Adaptive Learned Index.

Jialin Ding, Umar Farooq Minhas, Jia Yu, Chi Wang, Jaeyoung Do, Yinan Li, Hantian Zhang, Badrish Chandramouli, Johannes Gehrke, Donald Kossmann, David B. Lomet, Tim Kraska

Proceedings of the 2020 International Conference on Management of Data, 2020

MIRIS: Fast Object Track Queries in Video.

Favyen Bastani, Songtao He, Arjun Balasingam, Karthik Gopalakrishnan, Mohammad Alizadeh, Hari Balakrishnan, Michael J. Cafarella, Tim Kraska, Sam Madden

Proceedings of the 2020 International Conference on Management of Data, 2020

Learned garbage collection.

Lujing Cen, Ryan Marcus, Hongzi Mao, Justin Gottschlich, Mohammad Alizadeh, Tim Kraska

Proceedings of the 4th ACM SIGPLAN International Workshop on Machine Learning and Programming Languages, 2020

BeeCluster: drone orchestration via predictive optimization.

Songtao He, Favyen Bastani, Arjun Balasingam, Karthik Gopalakrishnan, Ziwen Jiang, Mohammad Alizadeh, Hari Balakrishnan, Michael J. Cafarella, Tim Kraska, Sam Madden

Proceedings of the MobiSys '20: The 18th Annual International Conference on Mobile Systems, 2020

Cost-Guided Cardinality Estimation: Focus Where it Matters.

Parimarjan Negi, Ryan Marcus, Hongzi Mao, Nesime Tatbul, Tim Kraska, Mohammad Alizadeh

Proceedings of the 36th IEEE International Conference on Data Engineering Workshops, 2020

Getting Swole: Generating Access-Aware Code with Predicate Pullups.

Andrew Crotty, Alex Galakatos, Tim Kraska

Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

Fast Mapping onto Census Blocks.

Jeremy Kepner, Andreas Kipf, Darren Engwirda, Navin Vembar, Michael Jones, Lauren Milechin, Vijay Gadepally, Chris Hill, Tim Kraska, William Arcand, David Bestor, William Bergeron, Chansup Byun, Matthew Hubbell, Michael Houle, Andrew C. Kirby, Anna Klein, Julie Mullen, Andrew Prout, Albert Reuther, Antonio Rosa, Sid Samsi, Charles Yee, Peter Michaleas

Proceedings of the 2020 IEEE High Performance Extreme Computing Conference, 2020

Big Data Visualization and Analytics: Future Research Challenges and Emerging Applications.

Gennady L. Andrienko, Natalia V. Andrienko, Steven Mark Drucker, Jean-Daniel Fekete, Danyel Fisher, Stratos Idreos, Tim Kraska, Guoliang Li, Kwan-Liu Ma, Jock D. Mackinlay, Antti Oulasvirta, Tobias Schreck, Heidrun Schumann, Michael Stonebraker, David Auber, Nikos Bikakis, Panos K. Chrysanthis, George Papastefanatos, Mohamed A. Sharaf

Proceedings of the Workshops of the EDBT/ICDT 2020 Joint Conference, 2020

A Polystore Based Database Operating System (DBOS).

Michael J. Cafarella, David J. DeWitt, Vijay Gadepally, Jeremy Kepner, Christos Kozyrakis, Tim Kraska, Michael Stonebraker, Matei Zaharia

Proceedings of the Heterogeneous Data Management, Polystores, and Analytics for Healthcare, 2020

2019

The SIGMOD 2019 Research Track Reviewing System.

Anastasia Ailamaki, Periklis Chrysogelos, Amol Deshpande, Tim Kraska

SIGMOD Rec., 2019

The Seattle Report on Database Research.

Daniel Abadi, Anastasia Ailamaki, David G. Andersen, Peter Bailis, Magdalena Balazinska, Philip A. Bernstein, Peter A. Boncz, Surajit Chaudhuri, Alvin Cheung, AnHai Doan, Luna Dong, Michael J. Franklin, Juliana Freire, Alon Y. Halevy, Joseph M. Hellerstein, Stratos Idreos, Donald Kossmann, Tim Kraska, Sailesh Krishnamurthy, Volker Markl, Sergey Melnik, Tova Milo, C. Mohan, Thomas Neumann, Beng Chin Ooi, Fatma Ozcan, Jignesh M. Patel, Andrew Pavlo, Raluca A. Popa, Raghu Ramakrishnan, Christopher Ré, Michael Stonebraker, Dan Suciu

SIGMOD Rec., 2019

Rethinking Database High Availability with RDMA Networks.

Erfan Zamanian, Xiangyao Yu, Michael Stonebraker, Tim Kraska

Proc. VLDB Endow., 2019

Choosing A Cloud DBMS: Architectures and Tradeoffs.

Junjay Tan, Thanaa M. Ghanem, Matthew Perron, Xiangyao Yu, Michael Stonebraker, David J. DeWitt, Marco Serafini, Ashraf Aboulnaga, Tim Kraska

Proc. VLDB Endow., 2019

Tuplex: Robust, Efficient Analytics When Python Rules.

Leonhard F. Spiegelberg, Tim Kraska

Proc. VLDB Endow., 2019

Neo: A Learned Query Optimizer.

Ryan Marcus, Parimarjan Negi, Hongzi Mao, Chi Zhang, Mohammad Alizadeh, Tim Kraska, Olga Papaemmanouil, Nesime Tatbul

Proc. VLDB Endow., 2019

SOSD: A Benchmark for Learned Indexes.

Andreas Kipf, Ryan Marcus, Alexander van Renen, Mihail Stoian, Alfons Kemper, Tim Kraska, Thomas Neumann

CoRR, 2019

LISA: Towards Learned DNA Sequence Search.

Darryl Ho, Jialin Ding, Sanchit Misra, Nesime Tatbul, Vikram Nathan, Md. Vasimuddin, Tim Kraska

CoRR, 2019

SysML: The New Frontier of Machine Learning Systems.

Alexander Ratner, Dan Alistarh, Gustavo Alonso, David G. Andersen, Peter Bailis, Sarah Bird, Nicholas Carlini, Bryan Catanzaro, Eric S. Chung, Bill Dally, Jeff Dean, Inderjit S. Dhillon, Alexandros G. Dimakis, Pradeep Dubey, Charles Elkan, Grigori Fursin, Gregory R. Ganger, Lise Getoor, Phillip B. Gibbons, Garth A. Gibson, Joseph E. Gonzalez, Justin Gottschlich, Song Han, Kim M. Hazelwood, Furong Huang, Martin Jaggi, Kevin G. Jamieson, Michael I. Jordan, Gauri Joshi, Rania Khalaf, Jason Knight, Jakub Konecný, Tim Kraska, Arun Kumar, Anastasios Kyrillidis, Jing Li, Samuel Madden, H. Brendan McMahan, Erik Meijer, Ioannis Mitliagkas, Rajat Monga, Derek Gordon Murray, Dimitris S. Papailiopoulos, Gennady Pekhimenko, Theodoros Rekatsinas, Afshin Rostamizadeh, Christopher Ré, Christopher De Sa, Hanie Sedghi, Siddhartha Sen, Virginia Smith, Alex Smola, Dawn Song, Evan R. Sparks, Ion Stoica, Vivienne Sze, Madeleine Udell, Joaquin Vanschoren, Shivaram Venkataraman, Rashmi Vinayak, Markus Weimer, Andrew Gordon Wilson, Eric P. Xing, Matei Zaharia, Ce Zhang, Ameet Talwalkar

CoRR, 2019

Custodes: Auditable Hypothesis Testing.

Sacha Servan-Schreiber, Olga Ohrimenko, Tim Kraska, Emanuel Zgraggen

CoRR, 2019

SchengenDB: A Data Protection Database Proposal.

Tim Kraska, Michael Stonebraker, Michael L. Brodie, Sacha Servan-Schreiber, Daniel J. Weitzner

Proceedings of the Heterogeneous Data Management, Polystores, and Analytics for Healthcare, 2019

Democratizing Data Science through Interactive Curation of ML Pipelines.

Zeyuan Shang, Emanuel Zgraggen, Benedetto Buratti, Ferdinand Kossmann, Philipp Eichmann, Yeounoh Chung, Carsten Binnig, Eli Upfal, Tim Kraska

Proceedings of the 2019 International Conference on Management of Data, 2019

From Auto-tuning One Size Fits All to Self-designed and Learned Data-intensive Systems.

Stratos Idreos, Tim Kraska

Proceedings of the 2019 International Conference on Management of Data, 2019

FITing-Tree: A Data-aware Index Structure.

Alex Galakatos, Michael Markovitch, Carsten Binnig, Rodrigo Fonseca, Tim Kraska

Proceedings of the 2019 International Conference on Management of Data, 2019

Designing Distributed Tree-based Index Structures for Fast RDMA-capable Networks.

Tobias Ziegler, Sumukha Tumkur Vani, Carsten Binnig, Rodrigo Fonseca, Tim Kraska

Proceedings of the 2019 International Conference on Management of Data, 2019

Park: An Open Platform for Learning-Augmented Computer Systems.

Hongzi Mao, Parimarjan Negi, Akshay Narayan, Hanrui Wang, Jiacheng Yang, Haonan Wang, Ryan Marcus, Ravichandra Addanki, Mehrdad Khani Shirkoohi, Songtao He, Vikram Nathan, Frank Cangialosi, Shaileshh Bojja Venkatakrishnan, Wei-Hung Weng, Song Han, Tim Kraska, Mohammad Alizadeh

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Sherlock: A Deep Learning Approach to Semantic Data Type Detection.

Madelon Hulsebos, Kevin Zeng Hu, Michiel A. Bakker, Emanuel Zgraggen, Arvind Satyanarayan, Tim Kraska, Çagatay Demiralp, César A. Hidalgo

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

How I Learned to Stop Worrying and Love Re-optimization.

Matthew Perron, Zeyuan Shang, Tim Kraska, Michael Stonebraker

Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

Slice Finder: Automated Data Slicing for Model Validation.

Yeounoh Chung, Tim Kraska, Neoklis Polyzotis, Ki Hyun Tae, Steven Euijong Whang

Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

VizCertify: A Framework for Secure Visual Data Exploration.

Lorenzo De Stefani, Leonhard F. Spiegelberg, Eli Upfal, Tim Kraska

Proceedings of the 2019 IEEE International Conference on Data Science and Advanced Analytics, 2019

SageDB: A Learned Database System.

Tim Kraska, Mohammad Alizadeh, Alex Beutel, Ed H. Chi, Ani Kristo, Guillaume Leclerc, Samuel Madden, Hongzi Mao, Vikram Nathan

Proceedings of the 9th Biennial Conference on Innovative Data Systems Research, 2019

VizNet: Towards A Large-Scale Visualization Learning and Benchmarking Repository.

Kevin Zeng Hu, Snehalkumar (Neil) S. Gaikwad, Madelon Hulsebos, Michiel A. Bakker, Emanuel Zgraggen, César A. Hidalgo, Tim Kraska, Guoliang Li, Arvind Satyanarayan, Çagatay Demiralp

Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems, 2019

VizML: A Machine Learning Approach to Visualization Recommendation.

Kevin Zeng Hu, Michiel A. Bakker, Stephen Li, Tim Kraska, César A. Hidalgo

Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems, 2019

2018

Distributed Machine Learning.

Alex Galakatos, Andrew Crotty, Tim Kraska

Proceedings of the Encyclopedia of Database Systems, Second Edition, 2018

Estimating the Impact of Unknown Unknowns on Aggregate Query Results.

Yeounoh Chung, Michael Lind Mortensen, Carsten Binnig, Tim Kraska

ACM Trans. Database Syst., 2018

Northstar: An Interactive Data Science System.

Tim Kraska

Proc. VLDB Endow., 2018

Towards Quantifying Uncertainty in Data Analysis & Exploration.

Yeounoh Chung, Sacha Servan-Schreiber, Emanuel Zgraggen, Tim Kraska

IEEE Data Eng. Bull., 2018

Chiller: Contention-centric Transaction Execution and Data Partitioning for Fast Networks.

Erfan Zamanian, Julian Shun, Carsten Binnig, Tim Kraska

CoRR, 2018

VizRec: A framework for secure data exploration via visual representation.

Lorenzo De Stefani, Leonhard F. Spiegelberg, Tim Kraska, Eli Upfal

CoRR, 2018

Unknown Examples & Machine Learning Model Generalization.

Yeounoh Chung, Peter J. Haas, Eli Upfal, Tim Kraska

CoRR, 2018

Slice Finder: Automated Data Slicing for Model Validation.

Yeounoh Chung, Tim Kraska, Neoklis Polyzotis, Steven Euijong Whang

CoRR, 2018

Smallify: Learning Network Size while Training.

Guillaume Leclerc, Manasi Vartak, Raul Castro Fernandez, Tim Kraska, Samuel Madden

CoRR, 2018

A-Tree: A Bounded Approximate Index Structure.

Alex Galakatos, Michael Markovitch, Carsten Binnig, Rodrigo Fonseca, Tim Kraska

CoRR, 2018

FastDAWG: Improving Data Migration in the BigDAWG Polystore System.

Xiangyao Yu, Vijay Gadepally, Stan Zdonik, Tim Kraska, Michael Stonebraker

Proceedings of the Heterogeneous Data Management, Polystores, and Analytics for Healthcare, 2018

The Case for Learned Index Structures.

Tim Kraska, Alex Beutel, Ed H. Chi, Jeffrey Dean, Neoklis Polyzotis

Proceedings of the 2018 International Conference on Management of Data, 2018

Towards Interactive Curation & Automatic Tuning of ML Pipelines.

Carsten Binnig, Benedetto Buratti, Yeounoh Chung, Cyrus Cousins, Tim Kraska, Zeyuan Shang, Eli Upfal, Robert C. Zeleznik, Emanuel Zgraggen

Proceedings of the Second Workshop on Data Management for End-To-End Machine Learning, 2018

Superneurons: dynamic GPU memory management for training deep neural networks.

Linnan Wang, Jinmian Ye, Yiyang Zhao, Wei Wu, Ang Li, Shuaiwen Leon Song, Zenglin Xu, Tim Kraska

Proceedings of the 23rd ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2018

Investigating the Effect of the Multiple Comparisons Problem in Visual Analysis.

Emanuel Zgraggen, Zheguang Zhao, Robert C. Zeleznik, Tim Kraska

Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems, 2018

2017

How Progressive Visualizations Affect Exploratory Analysis.

Emanuel Zgraggen, Alex Galakatos, Andrew Crotty, Jean-Daniel Fekete, Tim Kraska

IEEE Trans. Vis. Comput. Graph., 2017

The End of a Myth: Distributed Transaction Can Scale.

Erfan Zamanian, Carsten Binnig, Tim Kraska, Tim Harris

Proc. VLDB Endow., 2017

Revisiting Reuse for Approximate Query Processing.

Alex Galakatos, Andrew Crotty, Emanuel Zgraggen, Carsten Binnig, Tim Kraska

Proc. VLDB Endow., 2017

A Data Quality Metric (DQM): How to Estimate the Number of Undetected Errors in Data Sets.

Yeounoh Chung, Sanjay Krishnan, Tim Kraska

Proc. VLDB Endow., 2017

Rethinking Distributed Query Execution on High-Speed Networks.

Abdallah Salama, Carsten Binnig, Tim Kraska, Ansgar Scherp, Tobias Ziegler

IEEE Data Eng. Bull., 2017

Letter from the Special Issue Editor.

Tim Kraska

IEEE Data Eng. Bull., 2017

Safe Visual Data Exploration.

Zheguang Zhao, Emanuel Zgraggen, Lorenzo De Stefani, Carsten Binnig, Eli Upfal, Tim Kraska

Proceedings of the 2017 ACM International Conference on Management of Data, 2017

Controlling False Discoveries During Interactive Data Exploration.

Zheguang Zhao, Lorenzo De Stefani, Emanuel Zgraggen, Carsten Binnig, Eli Upfal, Tim Kraska

Proceedings of the 2017 ACM International Conference on Management of Data, 2017

Approximate Query Processing for Interactive Data Science.

Tim Kraska

Proceedings of the 2017 ACM International Conference on Management of Data, 2017

What you see is not what you get!: Detecting Simpson's Paradoxes during Data Exploration.

Yue Guo, Carsten Binnig, Tim Kraska

Proceedings of the 2nd Workshop on Human-In-the-Loop Data Analytics, 2017

Revisiting Reuse in Main Memory Database Systems.

Kayhan Dursun, Carsten Binnig, Ugur Çetintemel, Tim Kraska

Proceedings of the 2017 ACM International Conference on Management of Data, 2017

Data Science Education: We're Missing the Boat, Again.

Bill Howe, Michael J. Franklin, Laura M. Haas, Tim Kraska, Jeffrey D. Ullman

Proceedings of the 33rd IEEE International Conference on Data Engineering, 2017

Toward Sustainable Insights, or Why Polygamy is Bad for You.

Carsten Binnig, Lorenzo De Stefani, Tim Kraska, Eli Upfal, Emanuel Zgraggen, Zheguang Zhao

Proceedings of the 8th Biennial Conference on Innovative Data Systems Research, 2017

IncMap: A Journey towards Ontology-based Data Integration.

Christoph Pinkel, Carsten Binnig, Ernesto Jiménez-Ruiz, Evgeny Kharlamov, Andriy Nikolov, Andreas Schwarte, Christian Heupel, Tim Kraska

Proceedings of the Datenbanksysteme für Business, 2017

Spotlytics: How to Use Cloud Market Places for Analytics?

Tim Kraska, Elkhan Dadashov, Carsten Binnig

Proceedings of the Datenbanksysteme für Business, 2017

Towards Interactive Data Exploration.

Carsten Binnig, Fuat Basik, Benedetto Buratti, Ugur Çetintemel, Yeounoh Chung, Andrew Crotty, Cyrus Cousins, Dylan Ebert, Philipp Eichmann, Alex Galakatos, Benjamin Hättasch, Amir Ilkhechi, Tim Kraska, Zeyuan Shang, Isabella Tromba, Arif Usta, Prasetya Ajie Utama, Eli Upfal, Linnan Wang, Nathaniel Weir, Robert C. Zeleznik, Emanuel Zgraggen

Proceedings of the Real-Time Business Intelligence and Analytics, 2017

2016

The End of Slow Networks: It's Time for a Redesign.

Carsten Binnig, Andrew Crotty, Alex Galakatos, Tim Kraska, Erfan Zamanian

Proc. VLDB Endow., 2016

Towards a Benchmark for Interactive Data Exploration.

Philipp Eichmann, Emanuel Zgraggen, Zheguang Zhao, Carsten Binnig, Tim Kraska

IEEE Data Eng. Bull., 2016

The End of a Myth: Distributed Transactions Can Scale.

Erfan Zamanian, Carsten Binnig, Tim Kraska, Tim Harris

CoRR, 2016

Answering enumeration queries with the crowd.

Beth Trushkowsky, Tim Kraska, Michael J. Franklin, Purnamrita Sarkar

Commun. ACM, 2016

Making the Case for Query-by-Voice with EchoQuery.

Gabriel Lyons, Vinh Tran, Carsten Binnig, Ugur Çetintemel, Tim Kraska

Proceedings of the 2016 International Conference on Management of Data, 2016

PrivateClean: Data Cleaning and Differential Privacy.

Sanjay Krishnan, Jiannan Wang, Michael J. Franklin, Ken Goldberg, Tim Kraska

Proceedings of the 2016 International Conference on Management of Data, 2016

VisTrees: fast indexes for interactive data exploration.

Muhammad El-Hindi, Zheguang Zhao, Carsten Binnig, Tim Kraska

Proceedings of the Workshop on Human-In-the-Loop Data Analytics, 2016

The case for interactive data exploration accelerators (IDEAs).

Andrew Crotty, Alex Galakatos, Emanuel Zgraggen, Carsten Binnig, Tim Kraska

Proceedings of the Workshop on Human-In-the-Loop Data Analytics, 2016

Dark Data: Are we solving the right problems?

Michael J. Cafarella, Ihab F. Ilyas, Marcel Kornacker, Tim Kraska, Christopher Ré

Proceedings of the 32nd IEEE International Conference on Data Engineering, 2016

2015

Crowdsourcing Enumeration Queries: Estimators and Interfaces.

Beth Trushkowsky, Tim Kraska, Michael J. Franklin, Purnamrita Sarkar, Venketaram Ramachandran

IEEE Trans. Knowl. Data Eng., 2015

S-Store: Streaming Meets Transaction Processing.

John Meehan, Nesime Tatbul, Stan Zdonik, Cansu Aslantas, Ugur Çetintemel, Jiang Du, Tim Kraska, Samuel Madden, David Maier, Andrew Pavlo, Michael Stonebraker, Kristin Tufte, Hao Wang

Proc. VLDB Endow., 2015

Stale View Cleaning: Getting Fresh Answers from Stale Materialized Views.

Sanjay Krishnan, Jiannan Wang, Michael J. Franklin, Ken Goldberg, Tim Kraska

Proc. VLDB Endow., 2015

A Demonstration of the BigDAWG Polystore System.

Aaron J. Elmore, Jennie Duggan, Mike Stonebraker, Magdalena Balazinska, Ugur Çetintemel, Vijay Gadepally, Jeffrey Heer, Bill Howe, Jeremy Kepner, Tim Kraska, Samuel Madden, David Maier, Timothy G. Mattson, Stavros Papadopoulos, Jeff Parkhurst, Nesime Tatbul, Manasi Vartak, Stan Zdonik

Proc. VLDB Endow., 2015

Vizdom: Interactive Analytics through Pen and Touch.

Andrew Crotty, Alex Galakatos, Emanuel Zgraggen, Carsten Binnig, Tim Kraska

Proc. VLDB Endow., 2015

An Architecture for Compiling UDF-centric Workflows.

Andrew Crotty, Alex Galakatos, Kayhan Dursun, Tim Kraska, Carsten Binnig, Ugur Çetintemel, Stan Zdonik

Proc. VLDB Endow., 2015

SampleClean: Fast and Reliable Analytics on Dirty Data.

Sanjay Krishnan, Jiannan Wang, Michael J. Franklin, Ken Goldberg, Tim Kraska, Tova Milo, Eugene Wu

IEEE Data Eng. Bull., 2015

TuPAQ: An Efficient Planner for Large-scale Predictive Analytic Queries.

Evan R. Sparks, Ameet Talwalkar, Michael J. Franklin, Michael I. Jordan, Tim Kraska

CoRR, 2015

Fault-Tolerant Entity Resolution with the Crowd.

Anja Gruenheid, Besmira Nushi, Tim Kraska, Wolfgang Gatterbauer, Donald Kossmann

CoRR, 2015

The End of Slow Networks: It's Time for a Redesign.

Carsten Binnig, Ugur Çetintemel, Andrew Crotty, Alex Galakatos, Tim Kraska, Erfan Zamanian, Stanley B. Zdonik

CoRR, 2015

Cost-based Fault-tolerance for Parallel Data Processing.

Abdallah Salama, Carsten Binnig, Tim Kraska, Erfan Zamanian

Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data, Melbourne, Victoria, Australia, May 31, 2015

Machine Learning and Databases: The Sound of Things to Come or a Cacophony of Hype?

Christopher Ré, Divy Agrawal, Magdalena Balazinska, Michael J. Cafarella, Michael I. Jordan, Tim Kraska, Raghu Ramakrishnan

Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data, Melbourne, Victoria, Australia, May 31, 2015

SpotADAPT: Spot-Aware (re-)Deployment of Analytical Processing Tasks on Amazon EC2.

Dalia Kaulakiene, Christian Thomsen, Torben Bach Pedersen, Ugur Çetintemel, Tim Kraska

Proceedings of the ACM Eighteenth International Workshop on Data Warehousing and OLAP, 2015

Automating model search for large scale machine learning.

Evan R. Sparks, Ameet Talwalkar, Daniel Haas, Michael J. Franklin, Michael I. Jordan, Tim Kraska

Proceedings of the Sixth ACM Symposium on Cloud Computing, 2015

Tupleware: "Big" Data, Big Analytics, Small Clusters.

Andrew Crotty, Alex Galakatos, Kayhan Dursun, Tim Kraska, Ugur Çetintemel, Stanley B. Zdonik

Proceedings of the Seventh Biennial Conference on Innovative Data Systems Research, 2015

2014

S-Store: A Streaming NewSQL System for Big Velocity Applications.

Ugur Çetintemel, Jiang Du, Tim Kraska, Samuel Madden, David Maier, John Meehan, Andrew Pavlo, Michael Stonebraker, Erik Sutherland, Nesime Tatbul, Kristin Tufte, Hao Wang, Stanley B. Zdonik

Proc. VLDB Endow., 2014

Putting Analytics on the Spot: Or How to Lower the Cost for Analytics.

Elkhan Dadashov, Ugur Çetintemel, Tim Kraska

IEEE Internet Comput., 2014

Tupleware: Distributed Machine Learning on Small Clusters.

Andrew Crotty, Alex Galakatos, Tim Kraska

IEEE Data Eng. Bull., 2014

The Expected Optimal Labeling Order Problem for Crowdsourced Joins and Entity Resolution.

Jiannan Wang, Guoliang Li, Tim Kraska, Michael J. Franklin, Jianhua Feng

CoRR, 2014

Tupleware: Redefining Modern Analytics.

Andrew Crotty, Alex Galakatos, Kayhan Dursun, Tim Kraska, Ugur Çetintemel, Stanley B. Zdonik

CoRR, 2014

A sample-and-clean framework for fast and accurate query processing on dirty data.

Jiannan Wang, Sanjay Krishnan, Michael J. Franklin, Ken Goldberg, Tim Kraska, Tova Milo

Proceedings of the International Conference on Management of Data, 2014

PLANET: making progress with commit processing in unpredictable environments.

Gene Pang, Tim Kraska, Michael J. Franklin, Alan D. Fekete

Proceedings of the International Conference on Management of Data, 2014

Should we all be teaching "intro to data science" instead of "intro to databases"?

Bill Howe, Michael J. Franklin, Juliana Freire, James Frew, Tim Kraska, Raghu Ramakrishnan

Proceedings of the International Conference on Management of Data, 2014

2013

The New Database Architectures.

Tim Kraska, Beth Trushkowsky

IEEE Internet Comput., 2013

Finding the Needle in the Big Data Systems Haystack.

Tim Kraska

IEEE Internet Comput., 2013

Leveraging transitive relations for crowdsourced joins.

Jiannan Wang, Guoliang Li, Tim Kraska, Michael J. Franklin, Jianhua Feng

Proceedings of the ACM SIGMOD International Conference on Management of Data, 2013

RTP: robust tenant placement for elastic in-memory database clusters.

Jan Schaffner, Tim Januschowski, Megan Kercher, Tim Kraska, Hasso Plattner, Michael J. Franklin, Dean Jacobs

Proceedings of the ACM SIGMOD International Conference on Management of Data, 2013

Generalized scale independence through incremental precomputation.

Michael Armbrust, Eric Liang, Tim Kraska, Armando Fox, Michael J. Franklin, David A. Patterson

Proceedings of the ACM SIGMOD International Conference on Management of Data, 2013

MLI: An API for Distributed Machine Learning.

Evan R. Sparks, Ameet Talwalkar, Virginia Smith, Jey Kottalam, Xinghao Pan, Joseph E. Gonzalez, Michael J. Franklin, Michael I. Jordan, Tim Kraska

Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

Crowdsourced enumeration queries.

Beth Trushkowsky, Tim Kraska, Michael J. Franklin, Purnamrita Sarkar

Proceedings of the 29th IEEE International Conference on Data Engineering, 2013

A Framework for Adaptive Crowd Query Processing.

Beth Trushkowsky, Tim Kraska, Michael J. Franklin

Proceedings of the Human Computation and Crowdsourcing: Works in Progress and Demonstration Abstracts, 2013

CASTLE: Crowd-Assisted System for Text Labeling and Extraction.

Sean Goldberg, Daisy Zhe Wang, Tim Kraska

Proceedings of the First AAAI Conference on Human Computation and Crowdsourcing, 2013

MDCC: multi-data center consistency.

Tim Kraska, Gene Pang, Michael J. Franklin, Samuel Madden, Alan D. Fekete

Proceedings of the Eighth Eurosys Conference 2013, 2013

MLbase: A Distributed Machine-learning System.

Tim Kraska, Ameet Talwalkar, John C. Duchi, Rean Griffith, Michael J. Franklin, Michael I. Jordan

Proceedings of the Sixth Biennial Conference on Innovative Data Systems Research, 2013

CrowdQ: Crowdsourced Query Understanding.

Gianluca Demartini, Beth Trushkowsky, Tim Kraska, Michael J. Franklin

Proceedings of the Sixth Biennial Conference on Innovative Data Systems Research, 2013

2012

CrowdER: Crowdsourcing Entity Resolution.

Jiannan Wang, Tim Kraska, Michael J. Franklin, Jianhua Feng

Proc. VLDB Endow., 2012

MDCC: Multi-Data Center Consistency

Tim Kraska, Gene Pang, Michael J. Franklin, Samuel Madden

CoRR, 2012

Getting It All from the Crowd

Beth Trushkowsky, Tim Kraska, Michael J. Franklin, Purnamrita Sarkar

CoRR, 2012

Stormy: an elastic and highly available streaming service in the cloud.

Simon Loesing, Martin Hentschel, Tim Kraska, Donald Kossmann

Proceedings of the 2012 Joint EDBT/ICDT Workshops, Berlin, Germany, March 30, 2012, 2012

2011

Repeatability and workability evaluation of SIGMOD 2011.

Philippe Bonnet, Stefan Manegold, Matias Bjørling, Wei Cao, Javier González, Joel A. Granados, Nancy Hall, Stratos Idreos, Milena Ivanova, Ryan Johnson, David Koop, Tim Kraska, René Müller, Dan Olteanu, Paolo Papotti, Christine Reilly, Dimitris Tsirogiannis, Cong Yu, Juliana Freire, Dennis E. Shasha

SIGMOD Rec., 2011

CrowdDB: Query Processing with the VLDB Crowd.

Amber Feng, Michael J. Franklin, Donald Kossmann, Tim Kraska, Samuel Madden, Sukriti Ramesh, Andrew Wang, Reynold Xin

Proc. VLDB Endow., 2011

Crowdsourcing Applications and Platforms: A Data Management Perspective.

AnHai Doan, Michael J. Franklin, Donald Kossmann, Tim Kraska

Proc. VLDB Endow., 2011

PIQL: Success-Tolerant Query Processing in the Cloud.

Michael Armbrust, Kristal Curtis, Tim Kraska, Armando Fox, Michael J. Franklin, David A. Patterson

Proc. VLDB Endow., 2011

CrowdDB: answering queries with crowdsourcing.

Michael J. Franklin, Donald Kossmann, Tim Kraska, Sukriti Ramesh, Reynold Xin

Proceedings of the ACM SIGMOD International Conference on Management of Data, 2011

2010

Building Database Applications in the Cloud.

Tim Kraska

PhD thesis, 2010

Cloudy: A Modular Cloud Storage System.

Donald Kossmann, Tim Kraska, Simon Loesing, Stephan Merkli, Raman Mittal, Flavio Pfaffhauser

Proc. VLDB Endow., 2010

Data Management in the Cloud: Promises, State-of-the-art, and Open Questions.

Donald Kossmann, Tim Kraska

Datenbank-Spektrum, 2010

An evaluation of alternative architectures for transaction processing in the cloud.

Donald Kossmann, Tim Kraska, Simon Loesing

Proceedings of the ACM SIGMOD International Conference on Management of Data, 2010

2009

Consistency Rationing in the Cloud: Pay only when it matters.

Tim Kraska, Martin Hentschel, Gustavo Alonso, Donald Kossmann

Proc. VLDB Endow., 2009

XQuery Reloaded.

Roger Bamford, Vinayak R. Borkar, Matthias Brantner, Peter M. Fischer, Daniela Florescu, David A. Graf, Donald Kossmann, Tim Kraska, Dan Muresan, Sorin Nasoi, Markos Zacharioudaki

Proc. VLDB Endow., 2009

XQuery in the browser.

Ghislain Fourny, Markus Pilman, Daniela Florescu, Donald Kossmann, Tim Kraska, Darin McBeath

Proceedings of the 18th International Conference on World Wide Web, 2009

How is the weather tomorrow?: towards a benchmark for the cloud.

Carsten Binnig, Donald Kossmann, Tim Kraska, Simon Loesing

Proceedings of the 2nd International Workshop on Testing Database Systems, 2009

2008

XQuery in the browser.

Ghislain Fourny, Donald Kossmann, Tim Kraska, Markus Pilman, Daniela Florescu

Proceedings of the ACM SIGMOD International Conference on Management of Data, 2008

Building a database on S3.

Matthias Brantner, Daniela Florescu, David A. Graf, Donald Kossmann, Tim Kraska

Proceedings of the ACM SIGMOD International Conference on Management of Data, 2008

2007

Extending XQuery with Window Functions.

Irina Botan, Peter M. Fischer, Daniela Florescu, Donald Kossmann, Tim Kraska, Rokas Tamosevicius

Proceedings of the 33rd International Conference on Very Large Data Bases, 2007

2006

Genea: Schema-Aware Mapping of Ontologies into Relational Databases.

Tim Kraska, Uwe Röhm

Proceedings of the 13th International Conference on Management of Data, 2006

PathBank: Web-Based Querying and Visualziation of an Integrated Biological Pathway Database.

Joshua Wing Kei Ho, Tristan Manwaring, Seok-Hee Hong, Uwe Röhm, David Cho Yau Fung, Kai Xu, Tim Kraska, David Hart

Proceedings of the Third International Conference on Computer Graphics, 2006