Results 1 to 10 of about 157,330 (294)
An Efficient Parallel Method for Mining Frequent Closed Sequential Patterns
IEEE Access, 2017 Mining frequent closed sequential pattern (FCSPs) has attracted a great deal of research attention, because it is an important task in sequences mining.
Bao Huynh, Bay Vo, Vaclav Snasel
doaj +7 more sources
CCPM: A Scalable and Noise-Resistant Closed Contiguous Sequential Patterns Mining Algorithm [PDF]
Knowledge-Based Systems, 2017 International audienceMining closed contiguous sequential patterns has been addressed in the literature only recently, through the CCSpan algorithm.
Brun, Armelle +5 more
core +6 more sources
Discovery of closed spatio-temporal sequential patterns from event data
Procedia Computer Science, 2019 In the paper, we first thoroughly examine and prove properties of the participation index of spatio-temporal sequential patterns. Then, we introduce notions of a closure of a spatio-temporal sequential pattern and a closed spatio-temporal sequential ...
Piotr S Maciag +2 more
exaly +4 more sources
APPLYING THE ATTRIBUTED PREFIX TREE FOR MINING CLOSED SEQUENTIAL PATTERNS
Vietnam Journal of Science and Technology, 2018 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 ...
Thiet, Pham Thi
core +5 more sources
Using patterns co-occurrence matrix for cleaning closed sequential patterns for text mining [PDF]
2012 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology, 2012 With the overwhelming increase in the amount of texts on the web, it is almost impossible for people to keep abreast of up-to-date information. Text mining is a process by which interesting information is derived from text through the discovery of ...
Abdulmohsen Algarni +5 more
core +5 more sources
An Efficient Method for Mining Top-
IEEE Access, 2020 The problem of exploiting Closed Sequential Patterns (CSPs) is an essential task in data mining, with many different applications. It is used to resolve the situations of huge databases or low minimum support (minsup) thresholds in mining sequential ...
Thi-Thiet Pham +4 more
doaj +3 more sources
SeqStream: Mining Closed Sequential Patterns over Stream Sliding Windows
2008 Eighth IEEE International Conference on Data Mining, 2008 Previous studies have shown mining closed patterns provides more benefits than mining the complete set of frequent patterns, since closed pattern mining leads to more compact results and more efficient algorithms.
Lei Chang, Hua Luan
exaly +4 more sources
Expert systems with applications, 2019 International audienceSequential pattern mining has been the focus of many works, but still faces a tough challenge in the mining of large databases for both efficiency and apprehensibility of its resulting set.
Brun, Armelle, Abboud, Y, Boyer, Anne
core +4 more sources
Discrete Applied Mathematics, 2020 International audienceMethods for analysing sequential data generally produce a huge number of sequential patterns that have then to be evaluated and interpreted by domain experts.
Cristina Nica +2 more
exaly +5 more sources
Transportation Service Quality Improvement through Closed Sequential Pattern Mining Approach [PDF]
Cybernetics and Information Technologies, 2016 With the improvement of people’s living quality, more attention has been paid in food safety and quality. This is especially true for perishable agricultural and dairy products.
Huang Haisong +2 more
doaj +2 more sources