Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Siddharth Dawar"'
Publikováno v:
Applied Intelligence. 51:4649-4663
High-utility Itemset Mining (HUIM) finds patterns from a transaction database with their utility no less than a user-defined threshold. The utility of an itemset is defined as the sum of the utilities of its items. The utility notion enables a data a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3c0de223b9c0598b681f1f839802b430
https://doi.org/10.1007/s10489-020-02063-x
https://doi.org/10.1007/s10489-020-02063-x
Publikováno v:
Advanced Data Mining and Applications ISBN: 9783030954079
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5a4656efd5f80cc7ef35674db8a2eae1
https://doi.org/10.1007/978-3-030-95408-6_1
https://doi.org/10.1007/978-3-030-95408-6_1
Publikováno v:
Applied Intelligence. 47:1240-1255
High-utility itemset mining has gained significant attention in the past few years. It aims to find sets of items i.e. itemsets from a database with utility no less than a user defined threshold. The notion of utility provides more flexibility to an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5e41c6998b362068cad2a0e0eab4f480
https://doi.org/10.1007/s10489-017-0939-7
https://doi.org/10.1007/s10489-017-0939-7
Publikováno v:
Applied Intelligence. 47:809-827
High-utility itemset mining aims to find the set of items with utility no less than a user-defined threshold in a transaction database. High-utility itemset mining is an emerging research area in the field of data mining and has important application
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bfebe6c45233cd55f7714f806e557604
https://doi.org/10.1007/s10489-017-0932-1
https://doi.org/10.1007/s10489-017-0932-1
Autor:
Lu Yang, Philippe Fournier-Viger, Ashish Sureka, Jerry Chun-Wei Lin, Siddharth Dawar, Bay Vo, Vikram Goyal
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9783319484891
ICGEC
ICGEC
In the past, a SKYMINE approach was proposed to both consider the aspects of utility and frequency of the itemsets to mine the skyline frequency-utility skyline patterns (SFUPs). The SKYMINE algorithm requires, however, the amounts of computation to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::25af7d08aa12883276fc3c286fca033b
https://doi.org/10.1007/978-3-319-48490-7_16
https://doi.org/10.1007/978-3-319-48490-7_16
Publikováno v:
Big Data Analytics ISBN: 9783319270562
BDA
BDA
High-utility itemset mining has attracted significant attention from the research community. Identifying high-utility itemsets from a transaction database can help business owners to earn a better profit by promoting the sales of high-utility itemset
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::daf3d614efeb7b770516072db8b21165
https://doi.org/10.1007/978-3-319-27057-9_6
https://doi.org/10.1007/978-3-319-27057-9_6
Publikováno v:
Databases in Networked Information Systems ISBN: 9783319163123
DNIS
DNIS
High-Utility Rare Itemset (HURI) mining finds itemsets from a database which have their utility no less than a given minimum utility threshold and have their support less than a given frequency threshold. Identifying high-utility rare itemsets from a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ff5524d350b0f8cf525e1e6e1bb6895e
https://doi.org/10.1007/978-3-319-16313-0_3
https://doi.org/10.1007/978-3-319-16313-0_3
Autor:
Siddharth Dawar, Vikram Goyal
Publikováno v:
IDEAS
High-utility itemset mining is an emerging research area in the field of Data Mining. Several algorithms were proposed to find high-utility itemsets from transaction databases and use a data structure called UP-tree for their working. However, algori
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::01cd31ae73a9209a1a4967778f109679
https://doi.org/10.1145/2790755.2790771
https://doi.org/10.1145/2790755.2790771