Mining constrained inter-sequence patterns: a novel approach to cope with item constraints
出版年份 2018 全文链接
标题
Mining constrained inter-sequence patterns: a novel approach to cope with item constraints
作者
关键词
Data mining, Pattern mining, Inter-sequence pattern mining, Constraint mining, Parallel mining
出版物
APPLIED INTELLIGENCE
Volume -, Issue -, Pages -
出版商
Springer Nature
发表日期
2018-02-09
DOI
10.1007/s10489-017-1123-9
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- Mining top- k co-occurrence items with sequential pattern
- (2017) Tung Kieu et al. EXPERT SYSTEMS WITH APPLICATIONS
- A novel approach for mining maximal frequent patterns
- (2017) Bay Vo et al. EXPERT SYSTEMS WITH APPLICATIONS
- Mining of high average-utility itemsets using novel list structure and pruning strategy
- (2017) Unil Yun et al. Future Generation Computer Systems-The International Journal of eScience
- Mining of high utility-probability sequential patterns from uncertain databases
- (2017) Binbin Zhang et al. PLoS One
- Efficient mining of high utility pattern with considering of rarity and length
- (2016) Donggyu Kim et al. APPLIED INTELLIGENCE
- Fast algorithm for high utility pattern mining with the sum of item quantities
- (2016) Heungmo Ryang et al. Intelligent Data Analysis
- An efficient algorithm to maintain the discovered frequent sequences with record deletion
- (2016) Jerry Chun-Wei Lin et al. Intelligent Data Analysis
- Enhanced sequence identification technique for protein sequence database mining with hybrid frequent pattern mining algorithm
- (2016) J. Jeyabharathi et al. International Journal of Data Mining and Bioinformatics
- Efficiently Updating the Discovered Sequential Patterns for Sequence Modification
- (2016) Jerry Chun-Wei Lin et al. INTERNATIONAL JOURNAL OF SOFTWARE ENGINEERING AND KNOWLEDGE ENGINEERING
- Mining frequent closed inter-sequence patterns efficiently using dynamic bit vectors
- (2015) Bac Le et al. APPLIED INTELLIGENCE
- Combination of dynamic bit vectors and transaction information for mining frequent closed sequences efficiently
- (2015) Minh-Thai Tran et al. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
- Efficient Mining of Robust Closed Weighted Sequential Patterns Without Information Loss
- (2015) Unil Yun et al. International Journal on Artificial Intelligence Tools
- The use of sequential pattern mining to predict next prescribed medications
- (2015) Aileen P. Wright et al. JOURNAL OF BIOMEDICAL INFORMATICS
- Top-K Miner: top-K identical frequent itemsets discovery without user support threshold
- (2015) Saif-Ur-Rehman et al. KNOWLEDGE AND INFORMATION SYSTEMS
- CCSpan: Mining closed contiguous sequential patterns
- (2015) Jingsong Zhang et al. KNOWLEDGE-BASED SYSTEMS
- New Techniques for Mining Frequent Patterns in Unordered Trees
- (2015) Sen Zhang et al. IEEE Transactions on Cybernetics
- Integrating Human Behavior Modeling and Data Mining Techniques to Predict Human Errors in Numerical Typing
- (2015) Cheng-Jhe Lin et al. IEEE Transactions on Human-Machine Systems
- A new approach for the deep order preserving submatrix problem based on sequential pattern mining
- (2015) Yun Xue et al. International Journal of Machine Learning and Cybernetics
- Sequential pattern profiling based bio-detection for smart health service
- (2014) Hoill Jung et al. Cluster Computing-The Journal of Networks Software Tools and Applications
- An efficient method for mining non-redundant sequential rules using attributed prefix-trees
- (2014) Thi-Thiet Pham et al. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
- Mining non-redundant time-gap sequential patterns
- (2013) Show-Jane Yen et al. APPLIED INTELLIGENCE
- An efficient method for mining frequent itemsets with double constraints
- (2013) Hai Duong et al. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
- Closed inter-sequence pattern mining
- (2013) Chun-Sheng Wang et al. JOURNAL OF SYSTEMS AND SOFTWARE
- DFSP: a Depth-First SPelling algorithm for sequential pattern mining of biological sequences
- (2013) Vance Chiang-Chi Liao et al. KNOWLEDGE AND INFORMATION SYSTEMS
- Describing and Recognizing Patterns of Events in Smart Environments With Description Logic
- (2013) Antonello Scalmato et al. IEEE Transactions on Cybernetics
- DBV-Miner: A Dynamic Bit-Vector approach for fast mining frequent closed itemsets
- (2012) Bay Vo et al. EXPERT SYSTEMS WITH APPLICATIONS
- A sequential pattern mining algorithm using rough set theory
- (2011) Ken Kaneiwa et al. INTERNATIONAL JOURNAL OF APPROXIMATE REASONING
- Combined Mining: Discovering Informative Knowledge in Complex Data
- (2010) Longbing Cao et al. IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS
- DISCOVERING IMPORTANT SEQUENTIAL PATTERNS WITH LENGTH-DECREASING WEIGHTED SUPPORT CONSTRAINTS
- (2010) UNIL YUN et al. INTERNATIONAL JOURNAL OF INFORMATION TECHNOLOGY & DECISION MAKING
- Prism: An effective approach for frequent sequence mining via prime-block encoding
- (2009) Karam Gouda et al. JOURNAL OF COMPUTER AND SYSTEM SCIENCES
- An efficient algorithm for mining closed inter-transaction itemsets
- (2008) Anthony J.T. Lee et al. DATA & KNOWLEDGE ENGINEERING
- Mining inter-sequence patterns
- (2008) Chun-Sheng Wang et al. EXPERT SYSTEMS WITH APPLICATIONS
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExplorePublish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn More