Results 11 to 20 of about 157,330 (294)
NetNCSP: Nonoverlapping closed sequential pattern mining
Knowledge-Based Systems, 2020 Sequential pattern mining (SPM) has been applied in many fields. However, traditional SPM neglects the pattern repetition in sequence. To solve this problem, gap constraint SPM was proposed and can avoid finding too many useless patterns.
Youxi Wu +4 more
semanticscholar +5 more sources
EFFICIENTLY MINING CLOSED SEQUENTIAL PATTERNS USING PREFIX TREE
Journal of Science and Technology - IUH, 2020 Mining closed sequential patterns is one of important tasks in data mining. It is proposed to resolve difficult problems in mining sequential pattern such as mining long frequent sequences that contain a combinatorial number of frequent subsequences or ...
Pham Thi Thiet, Van Vo
semanticscholar +4 more sources
Parallel mining of closed sequential patterns
Proceedings of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining, 2005 Discovery of sequential patterns is an essential data mining task with broad applications. Among several variations of sequential patterns, closed sequential pattern is the most useful one since it retains all the information of the complete pattern set ...
Jiawei Han, David Padua, Shengnan Cong
core +3 more sources
Mining Top-k Closed Sequential Patterns in Sequential Databases
IOSR Journal of Computer Engineering, 2013 In data mining community, sequential pattern mining has been studied extensively. Most studies require the specification of minimum support threshold to mine the sequential patterns.
K. Sohini
semanticscholar +3 more sources
Mining Frequent Max and Closed Sequential Patterns
, 2002 Although frequent sequential pattern mining has an important role in many data mining tasks, however, it often generates a large number of sequential patterns, which reduces its efficiency and effectiveness.
Ramin Afshar +2 more
core +3 more sources
Incremental Mining of Closed Sequential Patterns in Multiple Data Streams
Journal of Networks, 2012 Sequential pattern mining searches for the relative sequence of events, allowing users to make predictions on discovered sequential patterns. Due to drastically advanced information technology over recent years, data have rapidly changed, growth in data ...
Yang, Shih-yang; Chao, Ching-ming; Chen, Po-zung; Sun, Chu-hao
core +3 more sources
A Novel Algorithm for Mining Closed Sequential Patterns
International Journal of Data Mining & Knowledge Management Process, 2015 V. Purushothama Raju +1 more
semanticscholar +3 more sources
Mining Closed Sequential Patterns in Large Sequence Databases
International Journal of Database Management Systems, 2015 V. Purushothama Raju +1 more
semanticscholar +3 more sources
Non-redundant sequential association rule mining based on closed sequential patterns
, 2010 In many applications, e.g., bioinformatics, web access traces, system utilisation logs, etc., the data is naturally in the form of sequences. People have taken great interest in analysing the sequential data and finding the inherent characteristics or ...
Zang, Hao
core +3 more sources
CloFAST: closed sequential pattern mining using sparse and vertical id-lists [PDF]
, 2016 Sequential pattern mining is a computationally challenging task since algorithms have to generate and/or test a combinatorially explosive number of intermediate subsequences.
FUMAROLA, FABIO +3 more
core +3 more sources