Mining association rules between sets of items in large databases
SIGMOD '93 Proceedings of the 1993 ACM SIGMOD international conference on Management of data
Efficiently mining long patterns from databases
SIGMOD '98 Proceedings of the 1998 ACM SIGMOD international conference on Management of data
Efficient mining of emerging patterns: discovering trends and differences
KDD '99 Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining
Levelwise Search and Borders of Theories in KnowledgeDiscovery
Data Mining and Knowledge Discovery
Data Mining: An Overview from a Database Perspective
IEEE Transactions on Knowledge and Data Engineering
Alternative Interest Measures for Mining Associations in Databases
IEEE Transactions on Knowledge and Data Engineering
Efficiently Mining Maximal Frequent Itemsets
ICDM '01 Proceedings of the 2001 IEEE International Conference on Data Mining
gSpan: Graph-Based Substructure Pattern Mining
ICDM '02 Proceedings of the 2002 IEEE International Conference on Data Mining
Mining Association Rules with Weighted Items
IDEAS '98 Proceedings of the 1998 International Symposium on Database Engineering & Applications
Mining Frequent Patterns without Candidate Generation: A Frequent-Pattern Tree Approach
Data Mining and Knowledge Discovery
Weighted Association Rule Mining using weighted support and significance framework
Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining
DeEPs: A New Instance-Based Lazy Discovery and Classification System
Machine Learning
Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining
Mining Sequential Patterns by Pattern-Growth: The PrefixSpan Approach
IEEE Transactions on Knowledge and Data Engineering
Data Mining: Concepts and Techniques
Data Mining: Concepts and Techniques
Fast Algorithms for Frequent Itemset Mining Using FP-Trees
IEEE Transactions on Knowledge and Data Engineering
Mining condensed frequent-pattern bases
Knowledge and Information Systems
MAFIA: A Maximal Frequent Itemset Algorithm
IEEE Transactions on Knowledge and Data Engineering
Mining lossless closed frequent patterns with weight constraints
Knowledge-Based Systems
Efficient mining of weighted interesting patterns with a strong weight and/or support affinity
Information Sciences: an International Journal
Isolated items discarding strategy for discovering high utility itemsets
Data & Knowledge Engineering
Developing recommender systems with the consideration of product profitability for sellers
Information Sciences: an International Journal
An Effective Algorithm for Mining Weighted Association Rules in Telecommunication Networks
CISW '07 Proceedings of the 2007 International Conference on Computational Intelligence and Security Workshops
Mining Weighted Association Rules without Preassigned Weights
IEEE Transactions on Knowledge and Data Engineering
Weighted graphs and disconnected components: patterns and a generator
Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining
Mining the Weighted Frequent XML Query Pattern
IWSCA '08 Proceedings of the 2008 IEEE International Workshop on Semantic Computing and Applications
An efficient mining of weighted frequent patterns with length decreasing support constraints
Knowledge-Based Systems
Cooperative Recommendation System Based on Ontology Construction
GCC '08 Proceedings of the 2008 Seventh International Conference on Grid and Cooperative Computing
Handling Dynamic Weights in Weighted Frequent Pattern Mining
IEICE - Transactions on Information and Systems
On pushing weight constraints deeply into frequent itemset mining
Intelligent Data Analysis
Knowledge and Information Systems
A data mining approach to face detection
Pattern Recognition
Processing online analytics with classification and association rule mining
Knowledge-Based Systems
A weighted common structure based clustering technique for XML documents
Journal of Systems and Software
Mining weighted sequential patterns in a sequence database with a time-interval weight
Knowledge-Based Systems
Approximate weighted frequent pattern mining with/without noisy environments
Knowledge-Based Systems
Mining negative generalized knowledge from relational databases
Knowledge-Based Systems
Weighted approximate sequential pattern mining within tolerance factors
Intelligent Data Analysis
Mining interestingness measures for string pattern mining
Knowledge-Based Systems
Pushing tougher constraints in frequent pattern mining
PAKDD'05 Proceedings of the 9th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining
Sliding window based weighted maximal frequent pattern mining over data streams
Expert Systems with Applications: An International Journal
Efficient frequent pattern mining based on Linear Prefix tree
Knowledge-Based Systems
MEI: An efficient algorithm for mining erasable itemsets
Engineering Applications of Artificial Intelligence
Efficient mining of maximal correlated weight frequent patterns
Intelligent Data Analysis
| Hi-index | 0.00 |
In the field of data mining, there have been many studies on mining frequent patterns due to its broad applications in mining association rules, correlations, sequential patterns, constraint-based frequent patterns, graph patterns, emerging patterns, and many other data mining tasks. We present a new algorithm for mining maximal weighted frequent patterns from a transactional database. Our mining paradigm prunes unimportant patterns and reduces the size of the search space. However, maintaining the anti-monotone property without loss of information should be considered, and thus our algorithm prunes weighted infrequent patterns and uses a prefix-tree with weight-descending order. In comparison, a previous algorithm, MAFIA, exponentially scales to the longest pattern length. Our algorithm outperformed MAFIA in a thorough experimental analysis on real data. In addition, our algorithm is more efficient and scalable.