Francesco Bonchi

Orcid: 0000-0001-9464-8315

According to our database1, Francesco Bonchi authored at least 237 papers between 1999 and 2024.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Finding Subgraphs with Maximum Total Density and Limited Overlap in Weighted Hypergraphs.
ACM Trans. Knowl. Discov. Data, May, 2024

Local Centrality Minimization with Quality Guarantees.
CoRR, 2024

Query-Efficient Correlation Clustering with Noisy Oracle.
CoRR, 2024

Fairness in Algorithmic Recourse Through the Lens of Substantive Equality of Opportunity.
CoRR, 2024

Balancing Utility and Fairness in Submodular Maximization.
Proceedings of the Proceedings 27th International Conference on Extending Database Technology, 2024

2023
Learning Multi-Frequency Partial Correlation Graphs.
CoRR, 2023

Extracting the Multiscale Causal Backbone of Brain Dynamics.
CoRR, 2023

Fast and Effective GNN Training with Linearized Random Spanning Trees.
CoRR, 2023

Hyper-distance Oracles in Hypergraphs.
CoRR, 2023

A Survey on the Densest Subgraph Problem and its Variants.
CoRR, 2023

Counterfactual Explanations for Graph Classification Through the Lenses of Density.
Proceedings of the Explainable Artificial Intelligence, 2023

Explaining Identity-aware Graph Classifiers through the Language of Motifs.
Proceedings of the International Joint Conference on Neural Networks, 2023

Rewiring What-to-Watch-Next Recommendations to Reduce Radicalization Pathways (Extended Abstract).
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

On the Relation between Opinion Change and Information Consumption on Reddit.
Proceedings of the Seventeenth International AAAI Conference on Web and Social Media, 2023

Setting the Right Expectations: Algorithmic Recourse Over Time.
Proceedings of the 3rd ACM Conference on Equity and Access in Algorithms, 2023

Rebalancing Social Feed to Minimize Polarization and Disagreement.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Relevance-based Infilling for Natural Language Counterfactuals.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022
Correlation Clustering
Synthesis Lectures on Data Mining and Knowledge Discovery, Springer, ISBN: 978-3-031-79210-6, 2022

Multi-relation Graph Summarization.
ACM Trans. Knowl. Discov. Data, 2022

Discovering Polarization Niches via Dense Subgraphs with Attractors and Repulsers.
Proc. VLDB Endow., 2022

Fair Top-<i>k</i> Ranking with multiple protected groups.
Inf. Process. Manag., 2022

Balancing Utility and Fairness in Submodular Maximization (Technical Report).
CoRR, 2022

The language of opinion change on social media under the lens of communicative action.
CoRR, 2022

Multiscale Non-stationary Causal Structure Learning from Time Series Data.
CoRR, 2022

On learning agent-based models from data.
CoRR, 2022

GRAPHSHAP: Motif-based Explanations for Black-box Graph Classifiers.
CoRR, 2022

FreSCo: Mining Frequent Patterns in Simplicial Complexes.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Rewiring What-to-Watch-Next Recommendations to Reduce Radicalization Pathways.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Social Norms on Reddit: A Demographic Analysis✱.
Proceedings of the WebSci '22: 14th ACM Web Science Conference 2022, Barcelona, Spain, June 26, 2022

Dense and well-connected subgraph detection in dual networks.
Proceedings of the 2022 SIAM International Conference on Data Mining, 2022

Exposure Inequality in People Recommender Systems: The Long-Term Effects.
Proceedings of the Sixteenth International AAAI Conference on Web and Social Media, 2022

The Effect of People Recommenders on Echo Chambers and Polarization.
Proceedings of the Sixteenth International AAAI Conference on Web and Social Media, 2022

Cascade-based Echo Chamber Detection.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021
Span-core Decomposition for Temporal Networks: Algorithms and Applications.
ACM Trans. Knowl. Discov. Data, 2021

Shortest Paths and Centrality in Uncertain Networks.
Proc. VLDB Endow., 2021

Give more data, awareness and control to individual citizens, and they will help COVID-19 containment.
Ethics Inf. Technol., 2021

Finding densest k-connected subgraphs.
Discret. Appl. Math., 2021

Efficient Probabilistic Truss Indexing on Uncertain Graphs.
Proceedings of the WWW '21: The Web Conference 2021, 2021

STruD: Truss Decomposition of Simplicial Complexes.
Proceedings of the WWW '21: The Web Conference 2021, 2021

WoMG: A Library for Word-of-Mouth Cascades Generation.
Proceedings of the WSDM '21, 2021

Maxmin-Fair Ranking: Individual Fairness under Group-Fairness Constraints.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Counterfactual Graphs for Explainable Classification of Brain Networks.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

The evolving causal structure of equity risk factors.
Proceedings of the ICAIF'21: 2nd ACM International Conference on AI in Finance, Virtual Event, November 3, 2021

Learning Ideological Embeddings from Information Cascades.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Comparing Equity and Effectiveness of Different Algorithms in an Application for the Room Rental Market.
Proceedings of the AIES '21: AAAI/ACM Conference on AI, 2021

2020
Scalable Dynamic Graph Summarization.
IEEE Trans. Knowl. Data Eng., 2020

Core Decomposition in Multilayer Networks: Theory, Algorithms, and Applications.
ACM Trans. Knowl. Discov. Data, 2020

X<sup>2</sup>R<sup>2</sup>: a Tool for Explainable and Explorative Reidentification Risk Analysis.
Proc. VLDB Endow., 2020

Finding events in temporal networks: segmentation meets densest subgraph discovery.
Knowl. Inf. Syst., 2020

Temporal betweenness centrality in dynamic graphs.
Int. J. Data Sci. Anal., 2020

FaiRecSys: mitigating algorithmic bias in recommender systems.
Int. J. Data Sci. Anal., 2020

Correction to: Exposing the probabilistic causal structure of discrimination.
Int. J. Data Sci. Anal., 2020

Fair-by-design matching.
Data Min. Knowl. Discov., 2020

Roots of Trumpism: Homophily and Social Feedback in Donald Trump Support on Reddit.
CoRR, 2020

Give more data, awareness and control to individual citizens, and they will help COVID-19 containment.
CoRR, 2020

Query-Efficient Correlation Clustering.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Roots of Trumpism: Homophily and Social Feedbackin Donald Trump Support on Reddit.
Proceedings of the WebSci '20: 12th ACM Conference on Web Science, 2020

Cores matter? An analysis of graph decomposition effects on influence maximization problems.
Proceedings of the WebSci '20: 12th ACM Conference on Web Science, 2020

Better Fewer but Better: Community Search with Outliers.
Proceedings of the IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology, 2020

Learning Opinion Dynamics From Social Traces.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Explainable Classification of Brain Networks via Contrast Subgraphs.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

The Effect of Homophily on Disparate Visibility of Minorities in People Recommender Systems.
Proceedings of the Fourteenth International AAAI Conference on Web and Social Media, 2020

Generating Realistic Interest-Driven Information Cascades.
Proceedings of the Fourteenth International AAAI Conference on Web and Social Media, 2020

Adaptive Community Search in Dynamic Networks.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019
The importance of unexpectedness: Discovering buzzing stories in anomalous temporal graphs.
Web Intell., 2019

Distance-Based Community Search (Invited Talk Extended Abstract).
Proceedings of the SOFSEM 2019: Theory and Practice of Computer Science, 2019

The Responsibility Challenge for Data.
Proceedings of the 2019 International Conference on Management of Data, 2019

Distance-generalized Core Decomposition.
Proceedings of the 2019 International Conference on Management of Data, 2019

Uncertain Graph Sparsification (Extended Abstract).
Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

Visualizing Structural Balance in Signed Networks.
Proceedings of the Complex Networks and Their Applications VIII, 2019

Discovering Polarized Communities in Signed Networks.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2018
Core Decomposition of Massive, Information-Rich Graphs.
Proceedings of the Encyclopedia of Social Network Analysis and Mining, 2nd Edition, 2018

Uncertain Graph Sparsification.
IEEE Trans. Knowl. Data Eng., 2018

Conditional Reliability in Uncertain Graphs.
IEEE Trans. Knowl. Data Eng., 2018

Invited papers from the ACM conference on hypertext and social media.
New Rev. Hypermedia Multim., 2018

Fair-by-design algorithms: matching problems and beyond.
CoRR, 2018

Summarizing Graphs at Multiple Scales: New Trends.
Proceedings of the IEEE International Conference on Data Mining, 2018

CIKM 2018 Workshops: Preface.
Proceedings of the CIKM 2018 Workshops co-located with 27th ACM International Conference on Information and Knowledge Management (CIKM 2018), 2018

Mining (maximal) Span-cores from Temporal Networks.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

CIKM 2018 Co-Located Workshops Summary.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

Probabilistic Causal Analysis of Social Influence.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

2017
Efficient Methods for Influence-Based Network-Oblivious Community Detection.
ACM Trans. Intell. Syst. Technol., 2017

28th ACM International Conference on Hypertext and Social Media.
SIGWEB Newsl., 2017

Summarizing Static and Dynamic Big Graphs.
Proc. VLDB Endow., 2017

Revenue Maximization in Incentivized Social Advertising.
Proc. VLDB Endow., 2017

Exposing the probabilistic causal structure of discrimination.
Int. J. Data Sci. Anal., 2017

Graph summarization with quality guarantees.
Data Min. Knowl. Discov., 2017

Secure Centrality Computation Over Multiple Networks.
Proceedings of the 26th International Conference on World Wide Web, 2017

On Information Propagation, Social Influence, and Communities.
Proceedings of the 6th International Conference on Data Science, 2017

FA*IR: A Fair Top-k Ranking Algorithm.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

To Be Connected, or Not to Be Connected: That is the Minimum Inefficiency Subgraph Problem.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

Core Decomposition and Densest Subgraph in Multilayer Networks.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

2016
Individual privacy in social influence networks.
Soc. Netw. Anal. Min., 2016

Modeling adoptions and the stages of the diffusion of innovations.
Knowl. Inf. Syst., 2016

Centrality Measures on Big Graphs: Exact, Approximated, and Distributed Algorithms.
Proceedings of the 25th International Conference on World Wide Web, 2016

Identifying Buzzing Stories via Anomalous Temporal Subgraph Discovery.
Proceedings of the 2016 IEEE/WIC/ACM International Conference on Web Intelligence, 2016

Spheres of Influence for More Effective Viral Marketing.
Proceedings of the 2016 International Conference on Management of Data, 2016

Algorithmic Bias: From Discrimination Discovery to Fairness-aware Data Mining.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

2015
Uncertain Graph Processing through Representative Instances.
ACM Trans. Database Syst., 2015

Scalable Online Betweenness Centrality in Evolving Graphs.
IEEE Trans. Knowl. Data Eng., 2015

Chromatic Correlation Clustering.
ACM Trans. Knowl. Discov. Data, 2015

Viral Marketing Meets Social Advertising: Ad Allocation with Minimum Regret.
Proc. VLDB Endow., 2015

Efficient and effective community search.
Data Min. Knowl. Discov., 2015

The Minimum Wiener Connector.
CoRR, 2015

The Social World of Content Abusers in Community Question Answering.
Proceedings of the 24th International Conference on World Wide Web, 2015

Finding Subgraphs with Maximum Total Density and Limited Overlap.
Proceedings of the Eighth ACM International Conference on Web Search and Data Mining, 2015

The Minimum Wiener Connector Problem.
Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data, Melbourne, Victoria, Australia, May 31, 2015

Graph Query Reformulation with Diversity.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Taxonomy-Based Discovery and Annotation of Functional Areas in the City.
Proceedings of the Ninth International Conference on Web and Social Media, 2015

Cultures in Community Question Answering.
Proceedings of the 26th ACM Conference on Hypertext & Social Media, 2015

Top-k Reliable Edge Colors in Uncertain Graphs.
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

Privacy Concerns vs. User Behavior in Community Question Answering.
Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2015

2014
Composite Retrieval of Diverse and Complementary Bundles.
IEEE Trans. Knowl. Data Eng., 2014

Description-Driven Community Detection.
ACM Trans. Intell. Syst. Technol., 2014

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

The pursuit of a good possible world: extracting representative instances of uncertain graphs.
Proceedings of the International Conference on Management of Data, 2014

Influence Maximization with Viral Product Design.
Proceedings of the 2014 SIAM International Conference on Data Mining, 2014

Correlation clustering: from theory to practice.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

Core decomposition of uncertain graphs.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

Who to follow and why: link prediction with explanations.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

Privacy Preserving Estimation of Social Influence.
Proceedings of the 17th International Conference on Extending Database Technology, 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

Online Topic-aware Influence Maximization Queries.
Proceedings of the 17th International Conference on Extending Database Technology, 2014

2013
Introduction to the special issue on social web mining.
ACM Trans. Intell. Syst. Technol., 2013

On minimizing budget and time in influence propagation over social networks.
Soc. Netw. Anal. Min., 2013

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

Topic-aware social influence propagation models.
Knowl. Inf. Syst., 2013

Meme ranking to maximize posts virality in microblogging platforms.
J. Intell. Inf. Syst., 2013

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

Local correlation clustering.
CoRR, 2013

Complexity and algorithms for composite retrieval.
Proceedings of the 22nd International World Wide Web Conference, 2013

From machu_picchu to "rafting the urubamba river": anticipating information needs via the entity-query graph.
Proceedings of the Sixth ACM International Conference on Web Search and Data Mining, 2013

Cascade-based community detection.
Proceedings of the Sixth ACM International Conference on Web Search and Data Mining, 2013

Towards Topic-aware Social Influence Propagation Models.
Proceedings of the 21st Italian Symposium on Advanced Database Systems, 2013

CSI: Community-Level Social Influence Analysis.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013

The role of information diffusion in the evolution of social networks.
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 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

The bang for the buck: fair competitive viral marketing from the host perspective.
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

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

Influence-Based Network-Oblivious Community Detection.
Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

2012
Injecting Uncertainty in Graphs for Identity Obfuscation.
Proc. VLDB Endow., 2012

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

Fast Matrix Computations for Pairwise and Columnwise Commute Times and Katz Scores.
Internet Math., 2012

Top-10 Data Mining Case Studies.
Int. J. Inf. Technol. Decis. Mak., 2012

Efficient query recommendations in the long tail via center-piece subgraphs.
Proceedings of the 35th International ACM SIGIR conference on research and development in Information Retrieval, 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

Interactive and context-aware tag spell check and correction.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

2011
Social Network Analysis and Mining for Business Applications.
ACM Trans. Intell. Syst. Technol., 2011

Trajectory anonymity in publishing personal mobility data.
SIGKDD Explor., 2011

A Data-Based Approach to Social Influence Maximization.
Proc. VLDB Endow., 2011

Query reformulation mining: models, patterns, and applications.
Inf. Retr., 2011

Fast matrix computations for pair-wise and column-wise commute times and Katz scores
CoRR, 2011

Influence Propagation in Social Networks: A Data Mining Perspective.
IEEE Intell. Informatics Bull., 2011

Viscous democracy for social networks.
Commun. ACM, 2011

Recommendations for the long tail by term-query graph.
Proceedings of the 20th International Conference on World Wide Web, 2011

Characterizing Uncertain Data using Compression.
Proceedings of the Eleventh SIAM International Conference on Data Mining, 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

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

2010
Hiding Sequential and Spatiotemporal Patterns.
IEEE Trans. Knowl. Data Eng., 2010

k-Nearest Neighbors in Uncertain Graphs.
Proc. VLDB Endow., 2010

Special issue for ECML PKDD 2010: Guest editors' introduction.
Mach. Learn., 2010

Anonymization of moving objects databases by clustering and perturbation.
Inf. Syst., 2010

Learning and Predicting the Evolution of Social Networks.
IEEE Intell. Syst., 2010

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

Approximation Analysis of Influence Spread in Social Networks
CoRR, 2010

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

Do you want to take notes?: identifying research missions in Yahoo! search pad.
Proceedings of the 19th International Conference on World Wide Web, 2010

Learning influence probabilities in social networks.
Proceedings of the Third International Conference on Web Search and Web Data Mining, 2010

Fast Katz and Commuters: Efficient Estimation of Social Relatedness in Large Networks.
Proceedings of the Algorithms and Models for the Web-Graph - 7th International Workshop, 2010

Cold start link prediction.
Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010

The Meme Ranking Problem: Maximizing Microblogging Virality.
Proceedings of the ICDMW 2010, 2010

2009
Mining Clinical, Immunological, and Genetic Data of Solid Organ Transplantation.
Proceedings of the Biomedical Data and Applications, 2009

Constraint-Based Pattern Discovery.
Proceedings of the Encyclopedia of Data Warehousing and Mining, Second Edition (4 Volumes), 2009

A constraint-based querying system for exploratory pattern discovery.
Inf. Syst., 2009

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

Optimising topical query decomposition.
Proceedings of the 2009 workshop on Web Search Click Data, 2009

Query suggestions using query-flow graphs.
Proceedings of the 2009 workshop on Web Search Click Data, 2009

From "Dango" to "Japanese Cakes": Query Reformulation Models and Patterns.
Proceedings of the 2009 IEEE/WIC/ACM International Conference on Web Intelligence, 2009

A new technique for sequential pattern mining under regular expressions.
Proceedings of the Seventeenth Italian Symposium on Advanced Database Systems, 2009

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

GuruMine: A Pattern Mining System for Discovering Leaders and Tribes.
Proceedings of the 25th International Conference on Data Engineering, 2009

Privacy Preserving Publication of Moving Object Data.
Proceedings of the Privacy in Location-Based Applications, 2009

Anonymizing moving objects: how to hide a MOB in a crowd?
Proceedings of the EDBT 2009, 2009

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

Compressing tags to find interesting media groups.
Proceedings of the 18th ACM Conference on Information and Knowledge Management, 2009

Voting in social networks.
Proceedings of the 18th ACM Conference on Information and Knowledge Management, 2009

2008
Privacy Protection: Regulations and Technologies, Opportunities and Threats.
Proceedings of the Mobility, Data Mining and Privacy - Geographic Knowledge Discovery, 2008

Privacy in Spatiotemporal Data Mining.
Proceedings of the Mobility, Data Mining and Privacy - Geographic Knowledge Discovery, 2008

Anonymity preserving pattern discovery.
VLDB J., 2008

PinKDD'08: privacy, security, and trust in KDD post workshop report.
SIGKDD Explor., 2008

Recent advances in preserving privacy when mining data.
Data Knowl. Eng., 2008

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

Sequence Mining Automata: A New Technique for Mining Frequent Sequences under Regular Expressions.
Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

Never Walk Alone: Uncertainty for Anonymity in Moving Objects Databases.
Proceedings of the 24th International Conference on Data Engineering, 2008

Discovering leaders from community actions.
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

2007
PinKDD'07: privacy, security, and trust in KDD post-workshop report.
SIGKDD Explor., 2007

Extending the state-of-the-art of constraint-based pattern discovery.
Data Knowl. Eng., 2007

Soft constraint based pattern mining.
Data Knowl. Eng., 2007

Towards Constraint-Based Subgraph Mining.
Proceedings of the Fifteenth Italian Symposium on Advanced Database Systems, 2007

Privacy-Aware Knowledge Discovery from Location Data.
Proceedings of the 8th International Conference on Mobile Data Management (MDM 2007), 2007

Time-Annotated Sequences for Medical Data Mining.
Proceedings of the Workshops Proceedings of the 7th IEEE International Conference on Data Mining (ICDM 2007), 2007

Hiding Sensitive Trajectory Patterns.
Proceedings of the Workshops Proceedings of the 7th IEEE International Conference on Data Mining (ICDM 2007), 2007

Hiding Sequences.
Proceedings of the 23rd International Conference on Data Engineering Workshops, 2007

Mining Clinical Data with a Temporal Dimension: A Case Study.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2007

2006
On condensed representations of constrained frequent patterns.
Knowl. Inf. Syst., 2006

Towards low-perturbation anonymity preserving pattern discovery.
Proceedings of the 2006 ACM Symposium on Applied Computing (SAC), 2006

On Interactive Pattern Mining from Relational Databases.
Proceedings of the Knowledge Discovery in Inductive Databases, 5th International Workshop, 2006

Extending the Soft Constraint Based Mining Paradigm.
Proceedings of the Knowledge Discovery in Inductive Databases, 5th International Workshop, 2006

ConQueSt: a Constraint-based Querying System for Exploratory Pattern Discovery.
Proceedings of the 22nd International Conference on Data Engineering, 2006

Mining HLA Patterns Explaining Liver Diseases.
Proceedings of the 19th IEEE International Symposium on Computer-Based Medical Systems (CBMS 2006), 2006

2005
Efficient breadth-first mining of frequent pattern with monotone constraints.
Knowl. Inf. Syst., 2005

Exante: A Preprocessing Method for Frequent-Pattern Mining.
IEEE Intell. Syst., 2005

Anonymity and data mining.
Comput. Syst. Sci. Eng., 2005

Interestingness is Not a Dichotomy: Introducing Softness in Constrained Pattern Mining.
Proceedings of the Knowledge Discovery in Databases: PKDD 2005, 2005

<i>k</i>-Anonymous Patterns.
Proceedings of the Knowledge Discovery in Databases: PKDD 2005, 2005

Pushing Tougher Constraints in Frequent Pattern Mining.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2005

Blocking Anonymity Threats Raised by Frequent Itemset Mining.
Proceedings of the 5th IEEE International Conference on Data Mining (ICDM 2005), 2005

2004
Frequent Pattern Queries for Flexible Knowledge Discovery.
Proceedings of the Twelfth Italian Symposium on Advanced Database Systems, 2004

FP-Bonsai: The Art of Growing and Pruning Small FP-Trees.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2004

On Closed Constrained Frequent Pattern Mining.
Proceedings of the 4th IEEE International Conference on Data Mining (ICDM 2004), 2004

Pushing Constraints to Detect Local Patterns.
Proceedings of the Local Pattern Detection, 2004

A Relational Query Primitive for Constraint-Based Pattern Mining.
Proceedings of the Constraint-Based Mining and Inductive Databases, 2004

2003
Pre-processing for Constrained Pattern Mining.
Proceedings of the Eleventh Italian Symposium on Advanced Database Systems, 2003

ExAnte: Anticipated Data Reduction in Constrained Pattern Mining.
Proceedings of the Knowledge Discovery in Databases: PKDD 2003, 2003

Adaptive Constraint Pushing in Frequent Pattern Mining.
Proceedings of the Knowledge Discovery in Databases: PKDD 2003, 2003

ExAMiner: Optimized Level-wise Frequent Pattern Mining with Monotone Constraint.
Proceedings of the 3rd IEEE International Conference on Data Mining (ICDM 2003), 2003

2001
Web log data warehousing and mining for intelligent web caching.
Data Knowl. Eng., 2001

Data Mining for Intelligent Web Caching.
Proceedings of the 2001 International Symposium on Information Technology (ITCC 2001), 2001

2000
On Verification in Logic Database Languages.
Proceedings of the Computational Logic, 2000

1999
Una Metodologia Basata sulla Classificazione per la Pianificazione degli Accertamenti nel Rilevamento di Frodi.
Proceedings of the Atti del Settimo Convegno Nazionale Sistemi Evoluti per Basi di Dati, 1999

A Classification-Based Methodology for Planning Audit Strategies in Fraud Detection.
Proceedings of the Fifth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 1999

Using Data Mining Techniques in Fiscal Fraud Detection.
Proceedings of the Data Warehousing and Knowledge Discovery, 1999


  Loading...