KDD-Cup 2000 organizers' report: peeling the onion

Mining e-commerce data: the good, the bad, and the ugly

Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining

Real world performance of association rule algorithms

Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining

Emerging trends in business analytics

Communications of the ACM - Evolving data mining into solutions for insights

Discovering calendar-based temporal association rules

Data & Knowledge Engineering - Special issue: Temporal representation and reasoning

Mining the Client's Life Cycle Behaviour in the Web

TSCTC '02 Proceedings of the Third International Conference on Rough Sets and Current Trends in Computing

In Pursuit of Interesting Patterns with Undirected Discovery of Exception Rules

Progress in Discovery Science, Final Report of the Japanese Discovery Science Project

Relational Markov models and their application to adaptive web navigation

Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining

Mining complex models from arbitrarily large databases in constant time

Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining

Memory issues in frequent itemset mining

Proceedings of the 2004 ACM symposium on Applied computing

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

Management Science

BIDE: Efficient Mining of Frequent Closed Sequences

ICDE '04 Proceedings of the 20th International Conference on Data Engineering

Selective Markov models for predicting Web page accesses

ACM Transactions on Internet Technology (TOIT)

Lessons and Challenges from Mining Retail E-Commerce Data

Machine Learning

Approximating a collection of frequent sets

Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining

From sequential pattern mining to structured pattern mining: a pattern-growth approach

Journal of Computer Science and Technology

Mining Sequential Patterns by Pattern-Growth: The PrefixSpan Approach

IEEE Transactions on Knowledge and Data Engineering

Toward Intelligent Assistance for a Data Mining Process: An Ontology-Based Approach for Cost-Sensitive Classification

IEEE Transactions on Knowledge and Data Engineering

Tight upper bounds on the number of candidate patterns

ACM Transactions on Database Systems (TODS)

Summarizing itemset patterns: a profile-based approach

Proceedings of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining

MAFIA: A Maximal Frequent Itemset Algorithm

IEEE Transactions on Knowledge and Data Engineering

Naive Bayes models for probability estimation

ICML '05 Proceedings of the 22nd international conference on Machine learning

Sequential Pattern Mining in Multi-Databases via Multiple Alignment

Data Mining and Knowledge Discovery

An implementation of the FP-growth algorithm

Proceedings of the 1st international workshop on open source data mining: frequent pattern mining implementations

Keeping things simple: finding frequent item sets by recursive elimination

Proceedings of the 1st international workshop on open source data mining: frequent pattern mining implementations

A further study in the data partitioning approach for frequent itemsets mining

ADC '06 Proceedings of the 17th Australasian Database Conference - Volume 49

Puppetnets: misusing web browsers as a distributed attack infrastructure

Proceedings of the 13th ACM conference on Computer and communications security

An integer programming approach for frequent itemset hiding

CIKM '06 Proceedings of the 15th ACM international conference on Information and knowledge management

Decision trees for mining data streams

Intelligent Data Analysis

Maintenance of maximal frequent itemsets in large databases

Proceedings of the 2007 ACM symposium on Applied computing

D-HOTM: distributed higher order text mining

dg.o '07 Proceedings of the 8th annual international conference on Digital government research: bridging disciplines & domains

An efficient algorithm for mining frequent inter-transaction patterns

Information Sciences: an International Journal

Frequent Closed Sequence Mining without Candidate Maintenance

IEEE Transactions on Knowledge and Data Engineering

Efficient mining of iterative patterns for software specification discovery

Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining

Efficient reduction of access latency through object correlations in virtual environments

EURASIP Journal on Applied Signal Processing

Deterministic algorithms for sampling count data

Data & Knowledge Engineering

A MaxMin approach for hiding frequent itemsets

Data & Knowledge Engineering

Designing evolving user profile in e-CRM with dynamic clustering of Web documents

Data & Knowledge Engineering

Redundant association rules reduction techniques

International Journal of Business Intelligence and Data Mining

Mining fuzzy periodic association rules

Data & Knowledge Engineering

OLAP on sequence data

Proceedings of the 2008 ACM SIGMOD international conference on Management of data

An efficient algorithm for mining closed inter-transaction itemsets

Data & Knowledge Engineering

A bottom-up projection based algorithm for mining high utility itemsets

AIDM '07 Proceedings of the 2nd international workshop on Integrating artificial intelligence and data mining - Volume 84

Mining temporal rules for software maintenance

Journal of Software Maintenance and Evolution: Research and Practice - Special Issue on Program Comprehension through Dynamic Analysis (PCODA)

Effective and efficient itemset pattern summarization: regression-based approaches

Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining

Fast discovery of sequential patterns in large databases using effective time-indexing

Information Sciences: an International Journal

Mining Frequent Closed Unordered Trees Through Natural Representations

ICCS '07 Proceedings of the 15th international conference on Conceptual Structures: Knowledge Architectures for Smart Applications

Maximum entropy based significance of itemsets

Knowledge and Information Systems

Puppetnets: Misusing Web Browsers as a Distributed Attack Infrastructure

ACM Transactions on Information and System Security (TISSEC)

Frequent items in streaming data: An experimental evaluation of the state-of-the-art

Data & Knowledge Engineering

Combining Multiple Interrelated Streams for Incremental Clustering

SSDBM 2009 Proceedings of the 21st International Conference on Scientific and Statistical Database Management

Introducing Softness into Inductive Queries on String Databases

Proceedings of the 2007 conference on Databases and Information Systems IV: Selected Papers from the Seventh International Baltic Conference DB&IS'2006

Sliding window-based frequent pattern mining over data streams

Information Sciences: an International Journal

Mining Compressed Repetitive Gapped Sequential Patterns Efficiently

ADMA '09 Proceedings of the 5th International Conference on Advanced Data Mining and Applications

Supporting ranking pattern-based aggregate queries in sequence data cubes

Proceedings of the 18th ACM conference on Information and knowledge management

Adaptive Stream Mining: Pattern Learning and Mining from Evolving Data Streams

Proceedings of the 2010 conference on Adaptive Stream Mining: Pattern Learning and Mining from Evolving Data Streams

DWMiner: a tool for mining frequent item sets efficiently in data warehouses

VECPAR'06 Proceedings of the 7th international conference on High performance computing for computational science

Incremental mining of sequential patterns using prefix tree

PAKDD'07 Proceedings of the 11th Pacific-Asia conference on Advances in knowledge discovery and data mining

Efficient mining of recurrent rules from a sequence database

DASFAA'08 Proceedings of the 13th international conference on Database systems for advanced applications

Using background knowledge to rank itemsets

Data Mining and Knowledge Discovery

Discovering itemset interactions

ACSC '09 Proceedings of the Thirty-Second Australasian Conference on Computer Science - Volume 91

Space-optimal heavy hitters with strong error bounds

ACM Transactions on Database Systems (TODS)

HengHa: data harvesting detection on hidden databases

Proceedings of the 2010 ACM workshop on Cloud computing security workshop

Finding closed frequent item sets by intersecting transactions

Proceedings of the 14th International Conference on Extending Database Technology

Krimp: mining itemsets that compress

Data Mining and Knowledge Discovery

Leakage in data mining: formulation, detection, and avoidance

Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining

Mining sequential patterns from probabilistic databases

PAKDD'11 Proceedings of the 15th Pacific-Asia conference on Advances in knowledge discovery and data mining - Volume Part II

Item set mining based on cover similarity

PAKDD'11 Proceedings of the 15th Pacific-Asia conference on Advances in knowledge discovery and data mining - Volume Part II

I/O-efficient algorithms for answering pattern-based aggregate queries in a sequence OLAP system

Proceedings of the 20th ACM international conference on Information and knowledge management

Mining fault-tolerant item sets using subset size occurrence distributions

IDA'11 Proceedings of the 10th international conference on Advances in intelligent data analysis X

Mining sequential patterns from probabilistic databases by pattern-growth

BNCOD'11 Proceedings of the 28th British national conference on Advances in databases

Improvements in the data partitioning approach for frequent itemsets mining

PKDD'05 Proceedings of the 9th European conference on Principles and Practice of Knowledge Discovery in Databases

Redundant association rules reduction techniques

AI'05 Proceedings of the 18th Australian Joint conference on Advances in Artificial Intelligence

To see the wood for the trees: mining frequent tree patterns

Proceedings of the 2004 European conference on Constraint-Based Mining and Inductive Databases

Transaction databases, frequent itemsets, and their condensed representations

KDID'05 Proceedings of the 4th international conference on Knowledge Discovery in Inductive Databases

Towards a variable size sliding window model for frequent itemset mining over data streams

Computers and Industrial Engineering

Cover similarity based item set mining

Bisociative Knowledge Discovery

Leakage in data mining: Formulation, detection, and avoidance

ACM Transactions on Knowledge Discovery from Data (TKDD) - Special Issue on the Best of SIGKDD 2011

Frequent item set mining

Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery

Improved counter based algorithms for frequent pairs mining in transactional data streams

ECML PKDD'12 Proceedings of the 2012 European conference on Machine Learning and Knowledge Discovery in Databases - Volume Part I

Graph-Based Modelling of Concurrent Sequential Patterns

International Journal of Data Warehousing and Mining

Closed inter-sequence pattern mining

Journal of Systems and Software

A survey of intelligent assistants for data analysis

ACM Computing Surveys (CSUR)

Identifying streaming frequent items in ad hoc time windows

Data & Knowledge Engineering

A performance study of three disk-based structures for indexing and querying frequent itemsets

Proceedings of the VLDB Endowment