Alexander Tuzhilin

According to our database, Alexander Tuzhilin authored at least 141 papers between 1985 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2024

Dual Contrastive Learning for Efficient Static Feature Representation in Sequential Recommendations.

Pan Li, Maofei Que, Alexander Tuzhilin

IEEE Trans. Knowl. Data Eng., February, 2024

2023

Don't Need All Eggs in One Basket: Reconstructing Composite Embeddings of Customers from Individual-Domain Embeddings.

Moshe Unger, Pan Li, Sahana (Shahana) Sen, Alexander Tuzhilin

ACM Trans. Manag. Inf. Syst., June, 2023

Adversarial Learning for Cross Domain Recommendations.

Pan Li, Brian Brost, Alexander Tuzhilin

ACM Trans. Intell. Syst. Technol., February, 2023

Dual Metric Learning for Effective and Efficient Cross-Domain Recommendations.

Pan Li, Alexander Tuzhilin

IEEE Trans. Knowl. Data Eng., 2023

Workshop on Context-Aware Recommender Systems 2023.

Gediminas Adomavicius, Konstantin Bauman, Bamshad Mobasher, Alexander Tuzhilin, Moshe Unger

Proceedings of the 17th ACM Conference on Recommender Systems, 2023

Hierarchical Contextual Embeddings for Context-Aware Recommendations (Extended Abstract).

Moshe Unger, Alexander Tuzhilin

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

2022

Context-Aware Recommender Systems: From Foundations to Recent Developments.

Gediminas Adomavicius, Konstantin Bauman, Alexander Tuzhilin, Moshe Unger

Proceedings of the Recommender Systems Handbook, 2022

Hierarchical Latent Context Representation for Context-Aware Recommendations.

Moshe Unger, Alexander Tuzhilin

IEEE Trans. Knowl. Data Eng., 2022

Learning Latent Multi-Criteria Ratings From User Reviews for Recommendations.

Pan Li, Alexander Tuzhilin

IEEE Trans. Knowl. Data Eng., 2022

Heterogeneous Demand Effects of Recommendation Strategies in a Mobile Application: Evidence from Econometric Models and Machine-Learning Instruments.

Panagiotis Adamopoulos, Anindya Ghose, Alexander Tuzhilin

MIS Q., 2022

Know Thy Context: Parsing Contextual Information from User Reviews for Recommendation Purposes.

Konstantin Bauman, Alexander Tuzhilin

Inf. Syst. Res., 2022

The Long Tail of Context: Does it Exist and Matter?

Konstantin Bauman, Alexey Vasilev, Alexander Tuzhilin

CoRR, 2022

CoLES: Contrastive Learning for Event Sequences with Self-Supervision.

Dmitrii Babaev, Nikita Ovsov, Ivan Kireev, Mariya Ivanova, Gleb Gusev, Ivan Nazarov, Alexander Tuzhilin

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

CARS: Workshop on Context-Aware Recommender Systems 2022.

Gediminas Adomavicius, Konstantin Bauman, Bamshad Mobasher, Francesco Ricci, Alexander Tuzhilin, Moshe Unger

Proceedings of the RecSys '22: Sixteenth ACM Conference on Recommender Systems, Seattle, WA, USA, September 18, 2022

2021

CoRSAI: A System for Robust Interpretation of CT Scans of COVID-19 Patients Using Deep Learning.

Manvel Avetisian, Ilya Burenko, Konstantin Egorov, Vladimir Kokh, Aleksandr Nesterov, Aleksandr Nikolaev, Alexander Ponomarchuk, Elena Sokolova, Alex Tuzhilin, Dmitry Umerenkov

ACM Trans. Manag. Inf. Syst., 2021

Route Recommendations for Intelligent Transportation Services.

Yong Ge, Huayu Li, Alexander Tuzhilin

IEEE Trans. Knowl. Data Eng., 2021

LightAutoML: AutoML Solution for a Large Financial Services Ecosystem.

Anton Vakhrushev, Alexander Ryzhkov, Maxim Savchenko, Dmitry Simakov, Rinchin Damdinov, Alexander Tuzhilin

CoRR, 2021

Workshop on Context-Aware Recommender Systems (CARS) 2021.

Gediminas Adomavicius, Konstantin Bauman, Bamshad Mobasher, Francesco Ricci, Alexander Tuzhilin, Moshe Unger

Proceedings of the RecSys '21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, The Netherlands, 27 September 2021, 2021

Dual Attentive Sequential Learning for Cross-Domain Click-Through Rate Prediction.

Pan Li, Zhichao Jiang, Maofei Que, Yao Hu, Alexander Tuzhilin

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Noise-resilient Automatic Interpretation of Holter ECG Recordings.

Konstantin Egorov, Elena Sokolova, Manvel Avetisian, Alexander Tuzhilin

Proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies, 2021

2020

Context-Aware Recommendations Based on Deep Learning Frameworks.

Moshe Unger, Alexander Tuzhilin, Amit Livne

ACM Trans. Manag. Inf. Syst., 2020

Latent Unexpected Recommendations.

Pan Li, Alexander Tuzhilin

ACM Trans. Intell. Syst. Technol., 2020

Report on the fourth workshop on recommendation in complex environments: (ComplexRec 2020).

Toine Bogers, Marijn Koolen, Bamshad Mobasher, Casper Petersen, Alexander Tuzhilin

SIGIR Forum, 2020

Event sequence metric learning.

Dmitrii Babaev, Ivan Kireev, Nikita Ovsov, Mariya Ivanova, Gleb Gusev, Alexander Tuzhilin

CoRR, 2020

DDTCDR: Deep Dual Transfer Cross Domain Recommendation.

Pan Li, Alexander Tuzhilin

Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020

Performance of Hyperbolic Geometry Models on Top-N Recommendation Tasks.

Leyla Mirvakhabova, Evgeny Frolov, Valentin Khrulkov, Ivan V. Oseledets, Alexander Tuzhilin

Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020

PURS: Personalized Unexpected Recommender System for Improving User Satisfaction.

Pan Li, Maofei Que, Zhichao Jiang, Yao Hu, Alexander Tuzhilin

Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020

ComplexRec 2020: Workshop on Recommendation in Complex Environments.

Toine Bogers, Marijn Koolen, Casper Petersen, Bamshad Mobasher, Alexander Tuzhilin

Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020

Workshop on Context-Aware Recommender Systems.

Gediminas Adomavicius, Konstantin Bauman, Bamshad Mobasher, Francesco Ricci, Alexander Tuzhilin, Moshe Unger

Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020

Predicting Clinical Diagnosis from Patients Electronic Health Records Using BERT-Based Neural Networks.

Pavel Blinov, Manvel Avetisian, Vladimir Kokh, Dmitry Umerenkov, Alexander Tuzhilin

Proceedings of the Artificial Intelligence in Medicine, 2020

2019

Recommendation strategies in personalization applications.

Michele Gorgoglione, Umberto Panniello, Alexander Tuzhilin

Inf. Manag., 2019

Latent Unexpected and Useful Recommendation.

Pan Li, Alexander Tuzhilin

CoRR, 2019

Latent multi-criteria ratings for recommendations.

Pan Li, Alexander Tuzhilin

Proceedings of the 13th ACM Conference on Recommender Systems, 2019

Latent Modeling of Unexpectedness for Recommendations.

Pan Li, Alexander Tuzhilin

Proceedings of ACM RecSys 2019 Late-Breaking Results co-located with the 13th ACM Conference on Recommender Systems, 2019

Overview of the Workshop on Recommendation in Complex Scenarios 2019 (ComplexRec 2019).

Marijn Koolen, Toine Bogers, Bamshad Mobasher, Alexander Tuzhilin

Proceedings of the Workshop on Recommendation in Complex Scenarios co-located with 13th ACM Conference on Recommender Systems (RecSys 2019), 2019

Third workshop on recommendation in complex scenarios (ComplexRec 2019).

Marijn Koolen, Toine Bogers, Bamshad Mobasher, Alexander Tuzhilin

Proceedings of the 13th ACM Conference on Recommender Systems, 2019

Radiologist-Level Stroke Classification on Non-contrast CT Scans with Deep U-Net.

Manvel Avetisian, Vladimir Kokh, Alexander Tuzhilin, Dmitry Umerenkov

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

E.T.-RNN: Applying Deep Learning to Credit Loan Applications.

Dmitrii Babaev, Maxim Savchenko, Alexander Tuzhilin, Dmitrii Umerenkov

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

Towards Controllable and Personalized Review Generation.

Pan Li, Alexander Tuzhilin

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

2018

Recommending Remedial Learning Materials to Students by Filling Their Knowledge Gaps.

Konstantin Bauman, Alexander Tuzhilin

MIS Q., 2018

YASENN: Explaining Neural Networks via Partitioning Activation Sequences.

Yaroslav Zharov, Denis Korzhenkov, Pavel Shvechikov, Alexander Tuzhilin

CoRR, 2018

2017

Using Social Sensors for Detecting Emergency Events: A Case of Power Outages in the Electrical Utility Industry.

Konstantin Bauman, Alexander Tuzhilin, Ryan Zaczynski

ACM Trans. Manag. Inf. Syst., 2017

Workshop on Recommendation in Complex Scenarios: (ComplexRec 2017).

Toine Bogers, Marijn Koolen, Bamshad Mobasher, Alan Said, Alexander Tuzhilin

Proceedings of the Eleventh ACM Conference on Recommender Systems, 2017

Aspect Based Recommendations: Recommending Items with the Most Valuable Aspects Based on User Reviews.

Konstantin Bauman, Bing Liu, Alexander Tuzhilin

Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

2016

Research Note - In CARSs We Trust: How Context-Aware Recommendations Affect Customers' Trust and Other Business Performance Measures of Recommender Systems.

Umberto Panniello, Michele Gorgoglione, Alexander Tuzhilin

Inf. Syst. Res., 2016

Beyond Movie Recommendations: Solving the Continuous Cold Start Problem in E-commerceRecommendations.

Julia Kiseleva, Alexander Tuzhilin, Jaap Kamps, Melanie J. I. Müller, Lucas Bernardi, Chad Davis, Ivan Kovacek, Mats Stafseng Einarsen, Djoerd Hiemstra

CoRR, 2016

Recommender systems - : beyond matrix completion.

Dietmar Jannach, Paul Resnick, Alexander Tuzhilin, Markus Zanker

Commun. ACM, 2016

Recommending Items with Conditions Enhancing User Experiences Based on Sentiment Analysis of Reviews.

Konstantin Bauman, Bing Liu, Alexander Tuzhilin

Proceedings of the 3rd Workshop on New Trends in Content-Based Recommender Systems co-located with ACM Conference on Recommender Systems (RecSys 2016), 2016

2015

Context-Aware Recommender Systems.

Gediminas Adomavicius, Alexander Tuzhilin

Proceedings of the Recommender Systems Handbook, 2015

Where to Go on Your Next Trip?: Optimizing Travel Destinations Based on User Preferences.

Julia Kiseleva, Melanie J. I. Müller, Lucas Bernardi, Chad Davis, Ivan Kovacek, Mats Stafseng Einarsen, Jaap Kamps, Alexander Tuzhilin, Djoerd Hiemstra

Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2015

Measuring the Concentration Reinforcement Bias of Recommender Systems.

Panagiotis Adamopoulos, Alexander Tuzhilin, Peter Mountanos

Proceedings of the Poster Proceedings of the 9th ACM Conference on Recommender Systems, 2015

The Business Value of Recommendations: A Privacy-Preserving Econometric Analysis.

Panagiotis Adamopoulos, Alexander Tuzhilin

Proceedings of the International Conference on Information Systems, 2015

2014

Comparing context-aware recommender systems in terms of accuracy and diversity.

Umberto Panniello, Alexander Tuzhilin, Michele Gorgoglione

User Model. User Adapt. Interact., 2014

Cost-Aware Collaborative Filtering for Travel Tour Recommendations.

Yong Ge, Hui Xiong, Alexander Tuzhilin, Qi Liu

ACM Trans. Inf. Syst., 2014

On Unexpectedness in Recommender Systems: Or How to Better Expect the Unexpected.

Panagiotis Adamopoulos, Alexander Tuzhilin

ACM Trans. Intell. Syst. Technol., 2014

Recommending Learning Materials to Students by Identifying their Knowledge Gaps.

Konstantin Bauman, Alexander Tuzhilin

Proceedings of the Poster Proceedings of the 8th ACM Conference on Recommender Systems, 2014

Discovering Contextual Information from User Reviews for Recommendation Purposes.

Konstantin Bauman, Alexander Tuzhilin

Proceedings of the 1st Workshop on New Trends in Content-based Recommender Systems co-located with the 8th ACM Conference on Recommender Systems, 2014

On over-specialization and concentration bias of recommendations: probabilistic neighborhood selection in collaborative filtering systems.

Panagiotis Adamopoulos, Alexander Tuzhilin

Proceedings of the Eighth ACM Conference on Recommender Systems, 2014

Estimating the Value of Multi-Dimensional Data Sets in Context-based Recommender Systems.

Panagiotis Adamopoulos, Alexander Tuzhilin

Proceedings of the Poster Proceedings of the 8th ACM Conference on Recommender Systems, 2014

2013

Introduction to special section on intelligent mobile knowledge discovery and management systems.

Hui Xiong, Shashi Shekhar, Alexander Tuzhilin

ACM Trans. Intell. Syst. Technol., 2013

Not by search alone: how recommendations complement search results.

Daria Dzyabura, Alexander Tuzhilin

Proceedings of the Seventh ACM Conference on Recommender Systems, 2013

Recommendation opportunities: improving item prediction using weighted percentile methods in collaborative filtering systems.

Panagiotis Adamopoulos, Alexander Tuzhilin

Proceedings of the Seventh ACM Conference on Recommender Systems, 2013

2012

Customer relationship management and Web mining: the next frontier.

Alexander Tuzhilin

Data Min. Knowl. Discov., 2012

4th workshop on context-aware recommender systems (CARS 2012).

Gediminas Adomavicius, Linas Baltrunas, Ernesto William De Luca, Tim Hussein, Alexander Tuzhilin

Proceedings of the Sixth ACM Conference on Recommender Systems, 2012

2011

Context-Aware Recommender Systems.

Gediminas Adomavicius, Alexander Tuzhilin

Proceedings of the Recommender Systems Handbook, 2011

Using external aggregate ratings for improving individual recommendations.

Akhmed Umyarov, Alexander Tuzhilin

ACM Trans. Web, 2011

Knowledge management revisited: Old Dogs, New tricks.

Alexander Tuzhilin

ACM Trans. Manag. Inf. Syst., 2011

REQUEST: A Query Language for Customizing Recommendations.

Gediminas Adomavicius, Alexander Tuzhilin, Rong Zheng

Inf. Syst. Res., 2011

Social and Economic Computing.

Wenji Mao, Alexander Tuzhilin, Jonathan Gratch

IEEE Intell. Syst., 2011

Context-Aware Recommender Systems.

Gediminas Adomavicius, Bamshad Mobasher, Francesco Ricci, Alexander Tuzhilin

AI Mag., 2011

The effect of context-aware recommendations on customer purchasing behavior and trust.

Michele Gorgoglione, Umberto Panniello, Alexander Tuzhilin

Proceedings of the 2011 ACM Conference on Recommender Systems, 2011

Collaborative filtering with collective training.

Yong Ge, Hui Xiong, Alexander Tuzhilin, Qi Liu

Proceedings of the 2011 ACM Conference on Recommender Systems, 2011

3rd workshop on context-aware recommender systems (CARS 2011).

Gediminas Adomavicius, Linas Baltrunas, Tim Hussein, Francesco Ricci, Alexander Tuzhilin

Proceedings of the 2011 ACM Conference on Recommender Systems, 2011

On Unexpectedness in Recommender Systems: Or How to Expect the Unexpected.

Panagiotis Adamopoulos, Alexander Tuzhilin

Proceedings of the Workshop on Novelty and Diversity in Recommender Systems, 2011

Cost-aware travel tour recommendation.

Yong Ge, Qi Liu, Hui Xiong, Alexander Tuzhilin, Jian Chen

Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

2010

Context-awareness in recommender systems: research workshop and movie recommendation challenge.

Gediminas Adomavicius, Alexander Tuzhilin, Shlomo Berkovsky, Ernesto William De Luca, Alan Said

Proceedings of the 2010 ACM Conference on Recommender Systems, 2010

An energy-efficient mobile recommender system.

Yong Ge, Hui Xiong, Alexander Tuzhilin, Keli Xiao, Marco Gruteser, Michael J. Pazzani

Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010

2009

Preface to the special issue on data mining for personalization.

Bamshad Mobasher, Alexander Tuzhilin

User Model. User Adapt. Interact., 2009

Improving Personalization Solutions through Optimal Segmentation of Customer Bases.

Tianyi Jiang, Alexander Tuzhilin

IEEE Trans. Knowl. Data Eng., 2009

Dynamic micro-targeting: fitness-based approach to predicting individual preferences.

Tianyi Jiang, Alexander Tuzhilin

Knowl. Inf. Syst., 2009

Improving rating estimation in recommender systems using aggregation- and variance-based hierarchical models.

Akhmed Umyarov, Alexander Tuzhilin

Proceedings of the 2009 ACM Conference on Recommender Systems, 2009

Experimental comparison of pre- vs. post-filtering approaches in context-aware recommender systems.

Umberto Panniello, Alexander Tuzhilin, Michele Gorgoglione, Cosimo Palmisano, Anto Pedone

Proceedings of the 2009 ACM Conference on Recommender Systems, 2009

2008

Using Context to Improve Predictive Modeling of Customers in Personalization Applications.

Cosimo Palmisano, Alexander Tuzhilin, Michele Gorgoglione

IEEE Trans. Knowl. Data Eng., 2008

Managing large collections of data mining models.

Bing Liu, Alexander Tuzhilin

Commun. ACM, 2008

The long tail of recommender systems and how to leverage it.

Yoon-Joo Park, Alexander Tuzhilin

Proceedings of the 2008 ACM Conference on Recommender Systems, 2008

Context-aware recommender systems.

Gediminas Adomavicius, Alexander Tuzhilin

Proceedings of the 2008 ACM Conference on Recommender Systems, 2008

Social networks: looking ahead.

Ravi Kumar, Alexander Tuzhilin, Christos Faloutsos, David D. Jensen, Gueorgi Kossinets, Jure Leskovec, Andrew Tomkins

Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008

Improving Collaborative Filtering Recommendations Using External Data.

Akhmed Umyarov, Alexander Tuzhilin

Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

The Effect of Context on the Predictive Performance of Segmentation.

Maria Francesca Faraone, Michele Gorgoglione, Sabrina Lombardi, Cosimo Palmisano, Umberto Panniello, Alexander Tuzhilin

Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and International Conference on Intelligent Agent Technology, 2008

2007

Validation Sequence Optimization: A Theoretical Approach.

Gediminas Adomavicius, Alexander Tuzhilin

INFORMS J. Comput., 2007

Leveraging aggregate ratings for better recommendations.

Akhmed Umyarov, Alexander Tuzhilin

Proceedings of the 2007 ACM Conference on Recommender Systems, 2007

User Profiling with Hierarchical Context: An e-Retailer Case Study.

Cosimo Palmisano, Alexander Tuzhilin, Michele Gorgoglione

Proceedings of the Modeling and Using Context, 2007

2006

Personalization technologies: A process-oriented perspective.

Gediminas Adomavicius, Alexander Tuzhilin

Wirtschaftsinf., 2006

On Characterization and Discovery of Minimal Unexpected Patterns in Rule Discovery.

Balaji Padmanabhan, Alexander Tuzhilin

IEEE Trans. Knowl. Data Eng., 2006

Segmenting Customers from Population to Individuals: Does 1-to-1 Keep Your Customers Forever?

Tianyi Jiang, Alexander Tuzhilin

IEEE Trans. Knowl. Data Eng., 2006

Personalization in Context: Does Context Matter When Building Personalized Customer Models?

Michele Gorgoglione, Cosimo Palmisano, Alexander Tuzhilin

Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

Mining Actionable Patterns by Role Models.

Ke Wang, Yuelong Jiang, Alexander Tuzhilin

Proceedings of the 22nd International Conference on Data Engineering, 2006

2005

Incorporating contextual information in recommender systems using a multidimensional approach.

Gediminas Adomavicius, Ramesh Sankaranarayanan, Shahana Sen, Alexander Tuzhilin

ACM Trans. Inf. Syst., 2005

Toward the Next Generation of Recommender Systems: A Survey of the State-of-the-Art and Possible Extensions.

Gediminas Adomavicius, Alexander Tuzhilin

IEEE Trans. Knowl. Data Eng., 2005

Mining Patterns That Respond to Actions.

Yuelong Jiang, Ke Wang, Alexander Tuzhilin, Ada Wai-Chee Fu

Proceedings of the 5th IEEE International Conference on Data Mining (ICDM 2005), 2005

2004

On the discovery of significant statistical quantitative rules.

Hong Zhang, Balaji Padmanabhan, Alexander Tuzhilin

Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2004

Divide and Prosper: Comparing Models of Customer Behavior From Populations to Individuals.

Tianyi Jiang, Alexander Tuzhilin

Proceedings of the 4th IEEE International Conference on Data Mining (ICDM 2004), 2004

2003

On the Use of Optimization for Data Mining: Theoretical Interactions and eCRM Opportunities.

Balaji Padmanabhan, Alexander Tuzhilin

Manag. Sci., 2003

From the Guest Co-Editors.

Alexander Tuzhilin, Louiqa Raschid

INFORMS J. Comput., 2003

2002

An Architecture of e-Butler: A Consumer-Centric Online Personalization System.

Gediminas Adomavicius, Alexander Tuzhilin

Int. J. Comput. Intell. Appl., 2002

Knowledge refinement based on the discovery of unexpected patterns in data mining.

Balaji Padmanabhan, Alexander Tuzhilin

Decis. Support Syst., 2002

Querying multiple sets of discovered rules.

Alexander Tuzhilin, Bing Liu

Proceedings of the Eighth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2002

Handling very large numbers of association rules in the analysis of microarray data.

Alexander Tuzhilin, Gediminas Adomavicius

Proceedings of the Eighth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2002

2001

Expert-Driven Validation of Rule-Based User Models in Personalization Applications.

Gediminas Adomavicius, Alexander Tuzhilin

Data Min. Knowl. Discov., 2001

Using Data Mining Methods to Build Customer Profiles.

Gediminas Adomavicius, Alexander Tuzhilin

Computer, 2001

Multidimensional Recommender Systems: A Data Warehousing Approach.

Gediminas Adomavicius, Alexander Tuzhilin

Proceedings of the Electronic Commerce, Second International Workshop, 2001

2000

Report on the KDD2000 Panel Personalization and Data Mining: Exploring the Synergies.

Alexander Tuzhilin

SIGKDD Explor., 2000

Small is beautiful: discovering the minimal set of unexpected patterns.

Balaji Padmanabhan, Alexander Tuzhilin

Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining, 2000

1999

Unexpectedness as a measure of interestingness in knowledge discovery.

Balaji Padmanabhan, Alexander Tuzhilin

Decis. Support Syst., 1999

User Profiling in Personalization Applications Through Rule Discovery and Validation.

Gediminas Adomavicius, Alexander Tuzhilin

Proceedings of the Fifth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 1999

1998

A Belief-Driven Method for Discovering Unexpected Patterns.

Balaji Padmanabhan, Alexander Tuzhilin

Proceedings of the Fourth International Conference on Knowledge Discovery and Data Mining (KDD-98), 1998

1997

Editor's introduction to the special issue on knowledge discovery and its applications to business decision-making.

Alexander Tuzhilin

Decis. Support Syst., 1997

Providing information system support for simulations using the Cassandra⁺ system.

P. Balasubramanian, Alexander Tuzhilin

Ann. Oper. Res., 1997

Discovery of Actionable Patterns in Databases: The Action Hierarchy Approach.

Gediminas Adomavicius, Alexander Tuzhilin

Proceedings of the Third International Conference on Knowledge Discovery and Data Mining (KDD-97), 1997

A Pattern Discovery Algebra.

Alexander Tuzhilin

Proceedings of the Workshop on Research Issues on Data Mining and Knowledge Discovery, 1997

Discovering Unexpected Patterns in Temporal Data Using Temporal Logic.

Gideon Berger, Alexander Tuzhilin

Proceedings of the Temporal Databases: Research and Practice. (the book grow out of a Dagstuhl Seminar, 1997

1996

What Makes Patterns Interesting in Knowledge Discovery Systems.

Abraham Silberschatz, Alexander Tuzhilin

IEEE Trans. Knowl. Data Eng., 1996

On Data Representation and Use in a Temporal Relational DBMS.

James Clifford, Albert Croker, Alexander Tuzhilin

Inf. Syst. Res., 1996

Using query-driven simulations for querying outcomes of business processes.

P. Balasubramanian, Alexander Tuzhilin

Decis. Support Syst., 1996

Modeling Data-Intensive Reactive Systems with Relational Transition Systems.

Alexander Tuzhilin, Zvi M. Kedem

Acta Informatica, 1996

Pattern Discovery in Temporal Databases: A Temporal Logic Approach.

Balaji Padmanabhan, Alexander Tuzhilin

Proceedings of the Second International Conference on Knowledge Discovery and Data Mining (KDD-96), 1996

1995

Extending Temporal Logic to Support High-Level Simulations.

Alexander Tuzhilin

ACM Trans. Model. Comput. Simul., 1995

Templar: A Knowledge-Based Language for Software Specifications Using Temporal Logic.

Alexander Tuzhilin

ACM Trans. Inf. Syst., 1995

On Periodicity in Temporal Databases.

Alexander Tuzhilin, James Clifford

Inf. Syst., 1995

On Temporal Grouping

James Clifford, Albert Croker, Fabio Grandi, Alexander Tuzhilin

Proceedings of the Recent Advances in Temporal Databases, 1995

On Subjective Measures of Interestingness in Knowledge Discovery.

Abraham Silberschatz, Alexander Tuzhilin

Proceedings of the First International Conference on Knowledge Discovery and Data Mining (KDD-95), 1995

1994

On Completeness of Historical Relational Query Languages.

James Clifford, Albert Croker, Alexander Tuzhilin

ACM Trans. Database Syst., 1994

1993

Abstract-Driven Pattern Discovery in Databases.

Vasant Dhar, Alexander Tuzhilin

IEEE Trans. Knowl. Data Eng., 1993

Querying Datalog Programs with Temporal Logic.

Alexander Tuzhilin

Acta Informatica, 1993

Applications of temporal Databases to Knowledge-based Simulations.

Alexander Tuzhilin

Proceedings of the Temporal Databases: Theory, Design, and Implementation., 1993

On the Completeness of Query Languages for Grouped and Ungrouped Historical Data Models.

James Clifford, Albert Croker, Alexander Tuzhilin

Proceedings of the Temporal Databases: Theory, Design, and Implementation., 1993

1990

A Temporal Relational Algebra as Basis for Temporal Relational Completeness.

Alexander Tuzhilin, James Clifford

Proceedings of the 16th International Conference on Very Large Data Bases, 1990

1989

Using relational discrete event systems and models for prediction of future behavior of databases.

Alexander Tuzhilin

PhD thesis, 1989

Relational Database Behavior: Utilizing Relational Discrete Event Systems and Models.

Zvi M. Kedem, Alexander Tuzhilin

Proceedings of the Eighth ACM SIGACT-SIGMOD-SIGART Symposium on Principles of Database Systems, 1989

Querying and Controlling the Future Behaviour of Complex Objects.

Alexander Tuzhilin, Zvi M. Kedem

Proceedings of the Fifth International Conference on Data Engineering, 1989

1985

A Semantic Approach to Correctness of Concurrent Transaction Executions.

Alexander Tuzhilin, Paul G. Spirakis

Proceedings of the Fourth ACM SIGACT-SIGMOD Symposium on Principles of Database Systems, 1985