Search Results - subject:"frequent itemsets"

An adaptive algorithm for frequent pattern mining over data streams using diffset strategy

Subbulakshmi, B.; Deisy, C. - In: International journal of business information systems : … 31 (2019) 1, pp. 45-68

Persistent link: https://www.econbiz.de/10012062938

Mining changes in temporal patterns in latest time window for knowledge discovery

Shalini, Sheel; Lal, Kanhaiya - In: Journal of information & knowledge management : JIKM 18 (2019) 3, pp. 1950028-1-1950028-23

Persistent link: https://www.econbiz.de/10012129278

Process Mining and Interaction Data Analytics in a Web-Based Multi-Tabletop Collaborative Learning and Teaching Environment

Porouhan, Parham - In: International Journal of Web-Based Learning and … 13 (2018) 4, pp. 34-61

This article builds on the intersection of educational process mining and the automatic analysis of student's collaborative interaction data previously collected from a web-based multi-tabletop learning environment. The main focus of the article was to analyze and interpret the data using...

Persistent link: https://www.econbiz.de/10012048685

An Approach to Improve Generation of Association Rules in Order to Be Used in Recommenders

Hamidi, Hodjat; Hashemzadeh, Elnaz - In: International Journal of Data Warehousing and Mining (IJDWM) 13 (2017) 4, pp. 1-18

number of smaller sections based on clustering items, and each section is separately sampled. Frequent itemsets and …

Persistent link: https://www.econbiz.de/10012044233

Mining frequent itemsets a perspective from operations research

Pijls, W.H.L.M.; Kosters, W.A. - Erasmus University Rotterdam, Econometric Institute - 2008

Many papers on frequent itemsets have been published. Besides some contests in this field were held. In the majority of …Mining Frequent Itemsets A Perspective from Operations Research Wim Pijls⁄ Walter A. Kostersy Econometric Institute … Report EI 2008-24 October 20, 2008 Abstract Many papers on frequent itemsets have been published. Besides some contests in …

Persistent link: https://www.econbiz.de/10004972275

Mining frequent itemsets a perspective from operations research

Pijls, Pijls, W.H.L.M.; Kosters, Kosters, W.A. - Faculteit der Economische Wetenschappen, Erasmus … - 2008

Many papers on frequent itemsets have been published. Besides some contests in this field were held. In the majority of …

Persistent link: https://www.econbiz.de/10011149282

Mining frequent intemsets in memory-resident databases

Pijls, W.H.L.M.; Bioch, J.C. - Erasmus Research Institute of Management (ERIM), ERIM … - 2000

Due to the present-day memory sizes, a memory-resident database has become a practical option. Consequently, new methods designed to mining in such databases are desirable. In the case of disk-resident databases, breadth-first search methods are commonly used. We propose a new algorithm, based...

Persistent link: https://www.econbiz.de/10005795608

Mining frequent intemsets in memory-resident databases

Pijls, Pijls, W.H.L.M.; Bioch, Bioch, J.C. - Erasmus Research Institute of Management (ERIM), … - 2000

Persistent link: https://www.econbiz.de/10010837634