Aristides Gionis

According to our database1, Aristides Gionis authored at least 207 papers between 1996 and 2018.

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Bibliography

2018
Quantifying Controversy on Social Media.
ACM Trans. Social Computing, 2018

Global citation recommendation using knowledge graphs.
Journal of Intelligent and Fuzzy Systems, 2018

Tell me something my friends do not know: Diversity maximization in social networks.
CoRR, 2018

Robust Cascade Reconstruction by Steiner Tree Sampling.
CoRR, 2018

Explainable time series tweaking via irreversible and reversible temporal transformations.
CoRR, 2018

Maximizing the Diversity of Exposure in a Social Network.
CoRR, 2018

Mining Frequent Patterns in Evolving Graphs.
CoRR, 2018

Finding events in temporal networks: Segmentation meets densest-subgraph discovery.
CoRR, 2018

Computationally Inferred Genealogical Networks Uncover Long-Term Trends in Assortative Mating.
CoRR, 2018

From acquaintance to best friend forever: robust and fine-grained inference of social tie strengths.
CoRR, 2018

Reconstructing a cascade from temporal observations.
CoRR, 2018

Political Discourse on Social Media: Echo Chambers, Gatekeepers, and the Price of Bipartisanship.
CoRR, 2018

Computationally Inferred Genealogical Networks Uncover Long-Term Trends in Assortative Mating.
Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

Political Discourse on Social Media: Echo Chambers, Gatekeepers, and the Price of Bipartisanship.
Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

Joint Non-negative Matrix Factorization for Learning Ideological Leaning on Twitter.
Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 2018

Reconstructing a cascade from temporal observations.
Proceedings of the 2018 SIAM International Conference on Data Mining, 2018

Reducing Controversy by Connecting Opposing Views.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Mining Frequent Patterns in Evolving Graphs.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

2017
Bump Hunting in the Dark: Local Discrepancy Maximization on Graphs.
IEEE Trans. Knowl. Data Eng., 2017

Finding Dynamic Dense Subgraphs.
TKDD, 2017

Automatic controversy detection in social media: A content-independent motif-based approach.
Online Social Networks and Media, 2017

Lagrangian relaxations for multiple network alignment.
Data Min. Knowl. Discov., 2017

Discovering recurring activity in temporal networks.
Data Min. Knowl. Discov., 2017

Joint Non-negative Matrix Factorization for Learning Ideological Leaning on Twitter.
CoRR, 2017

Balancing Information Exposure in Social Networks.
CoRR, 2017

Community-aware network sparsification.
CoRR, 2017

Factors in Recommending Contrarian Content on Social Media.
CoRR, 2017

The Effect of Collective Attention on Controversial Debates on Social Media.
CoRR, 2017

Exposing Twitter Users to Contrarian News.
CoRR, 2017

The Ebb and Flow of Controversial Debates on Social Media.
CoRR, 2017

Finding low-tension communities.
CoRR, 2017

A Motif-based Approach for Identifying Controversy.
CoRR, 2017

AncestryAI: A Tool for Exploring Computationally Inferred Family Trees.
Proceedings of the 26th International Conference on World Wide Web Companion, 2017

Mary, Mary, Quite Contrary: Exposing Twitter Users to Contrarian News.
Proceedings of the 26th International Conference on World Wide Web Companion, 2017

Reducing Controversy by Connecting Opposing Views.
Proceedings of the Tenth ACM International Conference on Web Search and Data Mining, 2017

Factors in Recommending Contrarian Content on Social Media.
Proceedings of the 2017 ACM on Web Science Conference, 2017

The Effect of Collective Attention on Controversial Debates on Social Media.
Proceedings of the 2017 ACM on Web Science Conference, 2017

Where Could We Go?: Recommendations for Groups in Location-Based Social Networks.
Proceedings of the 2017 ACM on Web Science Conference, 2017

Community-aware network sparsification.
Proceedings of the 2017 SIAM International Conference on Data Mining, 2017

Finding low-tension communities.
Proceedings of the 2017 SIAM International Conference on Data Mining, 2017

The Network-Untangling Problem: From Interactions to Activity Timelines.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

Balancing information exposure in social networks.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Inferring the Strength of Social Ties: A Community-Driven Approach.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

The Ebb and Flow of Controversial Debates on Social Media.
Proceedings of the Eleventh International Conference on Web and Social Media, 2017

A Motif-Based Approach for Identifying Controversy.
Proceedings of the Eleventh International Conference on Web and Social Media, 2017

On Mining Temporal Patterns in Dynamic Graphs, and Other Unrelated Problems.
Proceedings of the Complex Networks & Their Applications VI, 2017

Fully Dynamic Algorithm for Top-k Densest Subgraphs.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

Active Network Alignment: A Matching-Based Approach.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

Finding topical experts in Twitter via query-dependent personalized PageRank.
Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2017, Sydney, Australia, July 31, 2017

2016
Streaming Similarity Self-Join.
PVLDB, 2016

Backbone discovery in traffic networks.
I. J. Data Science and Analytics, 2016

Top-k overlapping densest subgraphs.
Data Min. Knowl. Discov., 2016

Discovering topically- and temporally-coherent events in interaction networks.
CoRR, 2016

Top-k densest subgraphs in sliding-window graph streams.
CoRR, 2016

Streaming Similarity Self-Join.
CoRR, 2016

Active network alignment: a matching-based approach.
CoRR, 2016

Balancing Opposing Views to Reduce Controversy.
CoRR, 2016

Semi-supervised Kernel Metric Learning Using Relative Comparisons.
CoRR, 2016

Quantifying Controversy in Social Media.
Proceedings of the Ninth ACM International Conference on Web Search and Data Mining, 2016

Discovering Topically- and Temporally-Coherent Events in Interaction Networks.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016

Temporal PageRank.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016

Discovering the Network Backbone from Traffic Activity Data.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2016

Reconstructing an Epidemic Over Time.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

DopeLearning: A Computational Approach to Rap Lyrics Generation.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

A Combinatorial Approach to Role Discovery.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016

Exploring Controversy in Twitter.
Proceedings of the 19th ACM Conference on Computer Supported Cooperative Work and Social Computing, 2016

Extracting Skill Endorsements from Personal Communication Data.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

2015
Introduction to the Special Issue ACM SIGKDD 2013.
TKDD, 2015

Chromatic Correlation Clustering.
TKDD, 2015

Beyond rankings: comparing directed acyclic graphs.
Data Min. Knowl. Discov., 2015

Absorbing random-walk centrality: Theory and algorithms.
CoRR, 2015

DopeLearning: A Computational Approach to Rap Lyrics Generation.
CoRR, 2015

Scalable Facility Location for Massive Graphs on Pregel-like Systems.
CoRR, 2015

Exploring Controversy in Twitter.
CoRR, 2015

Quantifying Controversy in Social Media.
CoRR, 2015

Density-friendly Graph Decomposition.
Proceedings of the 24th International Conference on World Wide Web, 2015

Subsequence Search in Event-Interval Sequences.
Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2015

The Blind Leading the Blind: Network-Based Location Estimation Under Uncertainty.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015

Maintaining Sliding-Window Neighborhood Profiles in Interaction Networks.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015

A Kernel-Learning Approach to Semi-supervised Clustering with Relative Distance Comparisons.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015

Dense Subgraph Discovery: KDD 2015 tutorial.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Where Is the Soho of Rome? Measures and Algorithms for Finding Similar Neighborhoods in Cities.
Proceedings of the Ninth International Conference on Web and Social Media, 2015

Covering the Egonet: A Crowdsourcing Approach to Social Circle Discovery on Twitter.
Proceedings of the Ninth International Conference on Web and Social Media, 2015

Absorbing Random-Walk Centrality: Theory and Algorithms.
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

Auctioning Data for Learning.
Proceedings of the IEEE International Conference on Data Mining Workshop, 2015

Bump hunting in the dark: Local discrepancy maximization on graphs.
Proceedings of the 31st IEEE International Conference on Data Engineering, 2015

Scalable Facility Location for Massive Graphs on Pregel-like Systems.
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

2014
Identity obfuscation in graphs through the information theoretic lens.
Inf. Sci., 2014

Confidence bands for time series data.
Data Min. Knowl. Discov., 2014

Overlapping community detection in labeled graphs.
Data Min. Knowl. Discov., 2014

Backbone discovery in traffic networks.
CoRR, 2014

Customized tour recommendations in urban areas.
Proceedings of the Seventh ACM International Conference on Web Search and Data Mining, 2014

Discovering Dynamic Communities in Interaction Networks.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014

Event detection in activity networks.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

Structured Prediction of Network Response.
Proceedings of the 31th International Conference on Machine Learning, 2014

Fast Reliability Search in Uncertain Graphs.
Proceedings of the 17th International Conference on Extending Database Technology, 2014

Distance oracles in edge-labeled graphs.
Proceedings of the 17th International Conference on Extending Database Technology, 2014

2013
Piggybacking on Social Networks.
PVLDB, 2013

Overlapping correlation clustering.
Knowl. Inf. Syst., 2013

Data Analysis.
Data Science Journal, 2013

Activity preserving graph simplification.
Data Min. Knowl. Discov., 2013

Opinion Maximization in Social Networks
CoRR, 2013

Searching for interestingness in Wikipedia and Yahoo!: answers.
Proceedings of the 22nd International World Wide Web Conference, 2013

Opinion Maximization in Social Networks.
Proceedings of the 13th SIAM International Conference on Data Mining, 2013

k-means-: A Unified Approach to Clustering and Outlier Detection.
Proceedings of the 13th SIAM International Conference on Data Mining, 2013

Discovering Nested Communities.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013

Denser than the densest subgraph: extracting optimal quasi-cliques with quality guarantees.
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

STRIP: stream learning of influence probabilities.
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

Algorithmic techniques for modeling and mining large graphs (AMAzING).
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

Learning to question: leveraging user preferences for shopping advice.
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

Measuring and Summarizing Movement in Microblog Postings.
Proceedings of the Seventh International Conference on Weblogs and Social Media, 2013

2012
k-Concealment: An Alternative Model of k-Type Anonymity.
Trans. Data Privacy, 2012

Injecting Uncertainty in Graphs for Identity Obfuscation.
PVLDB, 2012

Diverse dimension decomposition for itemset spaces.
Knowl. Inf. Syst., 2012

Injecting Uncertainty in Graphs for Identity Obfuscation
CoRR, 2012

Online team formation in social networks.
Proceedings of the 21st World Wide Web Conference 2012, 2012

Answers, not links: extracting tips from yahoo! answers to address how-to web queries.
Proceedings of the Fifth International Conference on Web Search and Web Data Mining, 2012

Correlating financial time series with micro-blogging activity.
Proceedings of the Fifth International Conference on Web Search and Web Data Mining, 2012

From chatter to headlines: harnessing the real-time web for personalized news recommendation.
Proceedings of the Fifth International Conference on Web Search and Web Data Mining, 2012

Social piggybacking: leveraging common friends to generate event streams.
Proceedings of the Fifth Workshop on Social Network Systems, 2012

Estimating entity importance via counting set covers.
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

Chromatic correlation clustering.
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

The early-adopter graph and its application to web-page recommendation.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

2011
Social Network Analysis and Mining for Business Applications.
ACM TIST, 2011

Social Content Matching in MapReduce.
PVLDB, 2011

Social content matching in MapReduce
CoRR, 2011

Improving recommendation for long-tail queries via templates.
Proceedings of the 20th International Conference on World Wide Web, 2011

Machine learned job recommendation.
Proceedings of the 2011 ACM Conference on Recommender Systems, 2011

A Shapley Value Approach for Influence Attribution.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011

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

Diverse Dimension Decomposition of an Itemset Space.
Proceedings of the 11th IEEE International Conference on Data Mining, 2011

Overlapping Correlation Clustering.
Proceedings of the 11th IEEE International Conference on Data Mining, 2011

Identity obfuscation in graphs through the information theoretic lens.
Proceedings of the 27th International Conference on Data Engineering, 2011

Suggesting ghost edges for a smaller world.
Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

2010
A Survey of Graph Mining for Web Applications.
Proceedings of the Managing and Mining Graph Data, 2010

Efficient algorithms for large-scale local triangle counting.
TKDD, 2010

k-Nearest Neighbors in Uncertain Graphs.
PVLDB, 2010

Special issue for ECML PKDD 2010: Guest editors' introduction.
Machine Learning, 2010

Learning and Predicting the Evolution of Social Networks.
IEEE Intelligent Systems, 2010

Guest editors' introduction: special issue of selected papers from ECML PKDD 2010.
Data Min. Knowl. Discov., 2010

On the high density of leadership nuclei in endorsement social networks.
Proceedings of the 19th International Conference on World Wide Web, 2010

An optimization framework for query recommendation.
Proceedings of the Third International Conference on Web Search and Web Data Mining, 2010

Query similarity by projecting the query-flow graph.
Proceedings of the Proceeding of the 33rd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2010

Evaluating Query Result Significance in Databases via Randomizations.
Proceedings of the SIAM International Conference on Data Mining, 2010

The community-search problem and how to plan a successful cocktail party.
Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010

Power in unity: forming teams in large-scale community systems.
Proceedings of the 19th ACM Conference on Information and Knowledge Management, 2010

2009
k-Anonymization with Minimal Loss of Information.
IEEE Trans. Knowl. Data Eng., 2009

A randomized approximation algorithm for computing bucket orders.
Inf. Process. Lett., 2009

Taxonomy-driven lumping for sequence mining.
Data Min. Knowl. Discov., 2009

Query Significance in Databases via Randomizations
CoRR, 2009

Taxonomy-Driven Lumping for Sequence Mining.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2009

Mining Graph Evolution Rules.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2009

Fast shortest path distance estimation in large networks.
Proceedings of the 18th ACM Conference on Information and Knowledge Management, 2009

On the feasibility of multi-site web search engines.
Proceedings of the 18th ACM Conference on Information and Knowledge Management, 2009

2008
Design trade-offs for search engine caching.
TWEB, 2008

The Discrete Basis Problem.
IEEE Trans. Knowl. Data Eng., 2008

Algorithms for unimodal segmentation with applications to unimodality detection.
Knowl. Inf. Syst., 2008

Optimal segmentation using tree models.
Knowl. Inf. Syst., 2008

Finding high-quality content in social media.
Proceedings of the International Conference on Web Search and Web Data Mining, 2008

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

Efficient semi-streaming algorithms for local triangle counting in massive graphs.
Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008

Mining Large Networks with Subgraph Counting.
Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

k-Anonymization Revisited.
Proceedings of the 24th International Conference on Data Engineering, 2008

Searching the wikipedia with contextual information.
Proceedings of the 17th ACM Conference on Information and Knowledge Management, 2008

Dr. Searcher and Mr. Browser: a unified hyperlink-click graph.
Proceedings of the 17th ACM Conference on Information and Knowledge Management, 2008

The query-flow graph: model and applications.
Proceedings of the 17th ACM Conference on Information and Knowledge Management, 2008

Query-log mining for detecting spam.
Proceedings of the AIRWeb 2008, 2008

2007
Clustering aggregation.
TKDD, 2007

Assessing data mining results via swap randomization.
TKDD, 2007

The price of validity in dynamic networks.
J. Comput. Syst. Sci., 2007

Estimating Number of Citations Using Author Reputation.
Proceedings of the String Processing and Information Retrieval, 2007

Know your neighbors: web spam detection using the web topology.
Proceedings of the SIGIR 2007: Proceedings of the 30th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2007

The impact of caching on search engines.
Proceedings of the SIGIR 2007: Proceedings of the 30th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2007

Segmentations with Rearrangements.
Proceedings of the Seventh SIAM International Conference on Data Mining, 2007

Recurrent Predictive Models for Sequence Segmentation.
Proceedings of the Advances in Intelligent Data Analysis VII, 2007

k -Anonymization with Minimal Loss of Information.
Proceedings of the Algorithms, 2007

2006
Segmentation and dimensionality reduction.
Proceedings of the Sixth SIAM International Conference on Data Mining, 2006

The Discrete Basis Problem.
Proceedings of the Knowledge Discovery in Databases: PKDD 2006, 2006

Algorithms for discovering bucket orders from data.
Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2006

Assessing data mining results via swap randomization.
Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2006

What is the Dimension of Your Binary Data?
Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

Optimal Segmentation Using Tree Models.
Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

2005
Dimension Induced Clustering.
Proceedings of the Lernen, 2005

Dimension induced clustering.
Proceedings of the Eleventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2005

Parameter-Free Spatial Data Mining Using MDL.
Proceedings of the 5th IEEE International Conference on Data Mining (ICDM 2005), 2005

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

Clustering Aggregation.
Proceedings of the 21st International Conference on Data Engineering, 2005

2004
The Price of Validity in Dynamic Networks.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2004

Geometric and Combinatorial Tiles in 0-1 Data.
Proceedings of the Knowledge Discovery in Databases: PKDD 2004, 2004

Approximating a collection of frequent sets.
Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2004

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

2003
A combinatorial algorithm for MAX CSP.
Inf. Process. Lett., 2003

DTD Inference from XML Documents: The XTRACT Approach.
IEEE Data Eng. Bull., 2003

XTRACT: Learning Document Type Descriptors from XML Document Collections.
Data Min. Knowl. Discov., 2003

Finding recurrent sources in sequences.
Proceedings of the Sventh Annual International Conference on Computational Biology, 2003

Fragments of order.
Proceedings of the Ninth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 24, 2003

Automated Ranking of Database Query Results.
Proceedings of the CIDR 2003, 2003

2002
Maintaining Stream Statistics over Sliding Windows.
SIAM J. Comput., 2002

Evaluating strategies for similarity search on the web.
Proceedings of the Eleventh International World Wide Web Conference, 2002

Maintaining stream statistics over sliding windows (extended abstract).
Proceedings of the Thirteenth Annual ACM-SIAM Symposium on Discrete Algorithms, 2002

2001
Finding Interesting Associations without Support Pruning.
IEEE Trans. Knowl. Data Eng., 2001

Efficient and Tunable Similar Set Retrieval.
Proceedings of the 2001 ACM SIGMOD international conference on Management of data, 2001

2000
Scalable Techniques for Clustering the Web.
Proceedings of the Third International Workshop on the Web and Databases, 2000

XTRACT: A System for Extracting Document Type Descriptors from XML Documents.
Proceedings of the 2000 ACM SIGMOD International Conference on Management of Data, 2000

Finding Interesting Associations without Support Pruning.
Proceedings of the 16th International Conference on Data Engineering, San Diego, California, USA, February 28, 2000

1999
Similarity Search in High Dimensions via Hashing.
Proceedings of the VLDB'99, 1999

1996
Surface Reflectance Recovery under Point Light Illumination.
Proceedings of the British Machine Vision Conference 1996, 1996


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