Mining association rules between sets of items in large databases
SIGMOD '93 Proceedings of the 1993 ACM SIGMOD international conference on Management of data
Identifying the Minimal Transversals of a Hypergraph and Related Problems
SIAM Journal on Computing
Inducing Features of Random Fields
IEEE Transactions on Pattern Analysis and Machine Intelligence
Fast discovery of association rules
Advances in knowledge discovery and data mining
Latent semantic indexing: a probabilistic analysis
PODS '98 Proceedings of the seventeenth ACM SIGACT-SIGMOD-SIGART symposium on Principles of database systems
Mining the most interesting rules
KDD '99 Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining
Privacy-preserving data mining
SIGMOD '00 Proceedings of the 2000 ACM SIGMOD international conference on Management of data
A general probabilistic framework for clustering individuals and objects
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining
Data mining: concepts and techniques
Data mining: concepts and techniques
Fast computation of low rank matrix approximations
STOC '01 Proceedings of the thirty-third annual ACM symposium on Theory of computing
STOC '01 Proceedings of the thirty-third annual ACM symposium on Theory of computing
Principles of data mining
Empirical bayes screening for multi-item associations
Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining
New results on monotone dualization and generating hypergraph transversals
STOC '02 Proceedings of the thiry-fourth annual ACM symposium on Theory of computing
Database Management Systems
Levelwise Search and Borders of Theories in KnowledgeDiscovery
Data Mining and Knowledge Discovery
Discovery of Frequent Episodes in Event Sequences
Data Mining and Knowledge Discovery
A Microeconomic View of Data Mining
Data Mining and Knowledge Discovery
Constraint-Based Rule Mining in Large, Dense Databases
Data Mining and Knowledge Discovery
DEMON: Mining and Monitoring Evolving Data
IEEE Transactions on Knowledge and Data Engineering
Finding Interesting Associations without Support Pruning
IEEE Transactions on Knowledge and Data Engineering
Understanding Probabilistic Classifiers
EMCL '01 Proceedings of the 12th European Conference on Machine Learning
ICDE '95 Proceedings of the Eleventh International Conference on Data Engineering
Mining Frequent Item Sets with Convertible Constraints
Proceedings of the 17th International Conference on Data Engineering
H-Mine: Hyper-Structure Mining of Frequent Patterns in Large Databases
ICDM '01 Proceedings of the 2001 IEEE International Conference on Data Mining
Context-Based Similarity Measures for Categorical Databases
PKDD '00 Proceedings of the 4th European Conference on Principles of Data Mining and Knowledge Discovery
Clustering Categorical Data: An Approach Based on Dynamical Systems
VLDB '98 Proceedings of the 24rd International Conference on Very Large Data Bases
Mining Surprising Patterns Using Temporal Description Length
VLDB '98 Proceedings of the 24rd International Conference on Very Large Data Bases
Fast Algorithms for Mining Association Rules in Large Databases
VLDB '94 Proceedings of the 20th International Conference on Very Large Data Bases
Privacy Preserving Data Mining
CRYPTO '00 Proceedings of the 20th Annual International Cryptology Conference on Advances in Cryptology
Probabilistic Models for Query Approximation with Large Sparse Binary Data Sets
UAI '00 Proceedings of the 16th Conference on Uncertainty in Artificial Intelligence
Theoretical frameworks for data mining
ACM SIGKDD Explorations Newsletter
Support Approximations Using Bonferroni-Type Inequalities
PKDD '02 Proceedings of the 6th European Conference on Principles of Data Mining and Knowledge Discovery
ICDM '03 Proceedings of the Third IEEE International Conference on Data Mining
Interestingness of frequent itemsets using Bayesian networks as background knowledge
Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining
Integration of profile hidden Markov model output into association rule mining
Proceedings of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining
Query reformulation using automatically generated query concepts from a document space
Information Processing and Management: an International Journal
Construction of query concepts based on feature clustering of documents
Information Retrieval
Frequency-based views to pattern collections
Discrete Applied Mathematics - Special issue: Discrete mathematics & data mining II (DM & DM II)
Propos: A Dynamic Web Tool for Managing Possibilistic and Probabilistic Temporal Constraint Networks
IWINAC '07 Proceedings of the 2nd international work-conference on Nature Inspired Problem-Solving Methods in Knowledge Engineering: Interplay Between Natural and Artificial Computation, Part II
Bound for the L2 Norm of Random Matrix and Succinct Matrix Approximation
ICCS '08 Proceedings of the 8th international conference on Computational Science, Part II
Scalable pattern mining with Bayesian networks as background knowledge
Data Mining and Knowledge Discovery
Deriving strong association mining rules using a dependency criterion, the lift measure
International Journal of Data Analysis Techniques and Strategies
A Fast and Simple Parallel Algorithm for the Monotone Duality Problem
ICALP '09 Proceedings of the 36th International Colloquium on Automata, Languages and Programming: Part I
Frequency-based views to pattern collections
Discrete Applied Mathematics - Special issue: Discrete mathematics & data mining II (DM & DM II)
Query reformulation using automatically generated query concepts from a document space
Information Processing and Management: an International Journal
Computational aspects of data mining
ICCSA'03 Proceedings of the 2003 international conference on Computational science and its applications: PartI
PRICAI'06 Proceedings of the 9th Pacific Rim international conference on Artificial intelligence
Computational science and data mining
ICCS'03 Proceedings of the 2003 international conference on Computational science: PartIII
Using a cosine-type measure to derive strong association mining rules
International Journal of Knowledge Engineering and Data Mining
Left-to-Right Multiplication for Monotone Boolean Dualization
SIAM Journal on Computing
How clustering can be useful to supermarkets?
TELE-INFO'06 Proceedings of the 5th WSEAS international conference on Telecommunications and informatics
Window subsequence problems for compressed texts
CSR'06 Proceedings of the First international computer science conference on Theory and Applications
Pushing constraints to detect local patterns
LPD'04 Proceedings of the 2004 international conference on Local Pattern Detection
An iterative method for mining frequent temporal patterns
EUROCAST'05 Proceedings of the 10th international conference on Computer Aided Systems Theory
Boolean formulas and frequent sets
Proceedings of the 2004 European conference on Constraint-Based Mining and Inductive Databases
KDID'05 Proceedings of the 4th international conference on Knowledge Discovery in Inductive Databases
A tree structure for event-based sequence mining
Knowledge-Based Systems
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Data mining has in recent years emerged as an interesting area in the boundary between algorithms, probabilistic modeling, statistics, and databases. Data mining research can be divided into global approaches, which try to model the whole data, and local methods, which try to find useful patterns occurring in the data. We discuss briefly some simple local and global techniques, review two attempts at combining the approaches, and list open problems with an algorithmic flavor.