Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Bai-En Shie"'
Autor:
Bai-En Shie, 謝百恩
94
Sequential pattern mining is to find sequential behaviors which most customers frequently do in a transaction database. These behaviors are called sequential patterns. There were many papers proposed algorithms for finding all sequential patt
Sequential pattern mining is to find sequential behaviors which most customers frequently do in a transaction database. These behaviors are called sequential patterns. There were many papers proposed algorithms for finding all sequential patt
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/4yw437
Publikováno v:
Expert Systems with Applications. 39:12947-12960
Data stream mining is an emerging research topic in the data mining field. Finding frequent itemsets is one of the most important tasks in data stream mining with wide applications like online e-business and web click-stream analysis. However, two ma
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7af4db22007bce6132decbe810a3d3e2
https://doi.org/10.1016/j.eswa.2012.05.035
https://doi.org/10.1016/j.eswa.2012.05.035
Publikováno v:
Applied Intelligence. 38:418-435
Discovering user behavior patterns from mobile commerce environments is an essential topic with wide applications, such as planning physical shopping sites, maintaining e-commerce on mobile devices and managing online shopping websites. Mobile sequen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::263236417936b8d9119eebdf460cb296
https://doi.org/10.1007/s10489-012-0379-3
https://doi.org/10.1007/s10489-012-0379-3
Publikováno v:
Knowledge and Information Systems. 37:363-387
Mining user behavior patterns in mobile environments is an emerging topic in data mining fields with wide applications. By integrating moving paths with purchasing transactions, one can find the sequential purchasing patterns with the moving paths, w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ca1faa7060234e9402d8f8343bf27259
https://doi.org/10.1007/s10115-012-0483-z
https://doi.org/10.1007/s10115-012-0483-z
Publikováno v:
International Journal of Software Engineering and Knowledge Engineering. 21:55-72
In the medical science field, the treatment of mental disorders has been an important issue. Recently, the treatment of mental disorders through biofeedback therapy is emerging as an important topic. A number of studies on the integration of mental h
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d4c04da90f0345a08a6b502a10dbf103
https://doi.org/10.1142/s0218194011005190
https://doi.org/10.1142/s0218194011005190
Publikováno v:
Intelligent Information and Database Systems ISBN: 9783319157016
ACIIDS (1)
ACIIDS (1)
Mining sequential patterns is to find the sequential purchasing behaviors for most of the customers. There were many algorithms proposed for discovering all the sequential patterns. However, users may be only interested in certain items or behaviors.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::392391bb3c5338115a2f79e76a5e25e9
https://doi.org/10.1007/978-3-319-15702-3_58
https://doi.org/10.1007/978-3-319-15702-3_58
Publikováno v:
KDD
Mining high utility itemsets from databases is an emerging topic in data mining, which refers to the discovery of itemsets with utilities higher than a user-specified minimum utility threshold min_util. Although several studies have been carried out
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b80c27282db91a6b06f75c9a296f48b9
https://doi.org/10.1145/2339530.2339546
https://doi.org/10.1145/2339530.2339546
Publikováno v:
New Frontiers in Applied Data Mining ISBN: 9783642283192
PAKDD Workshops
PAKDD Workshops
Mining user behavior patterns in mobile environments is an emerging topic in data mining fields with wide applications. By integrating moving paths with purchasing transactions, one can find the sequential purchasing patterns with the moving paths, w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0a09c34ace05a8ed4741271fe79f76dd
https://doi.org/10.1007/978-3-642-28320-8_7
https://doi.org/10.1007/978-3-642-28320-8_7
Publikováno v:
Advanced Research in Applied Artificial Intelligence ISBN: 9783642310867
IEA/AIE
IEA/AIE
Mobile sequential pattern mining is an emerging topic in data mining fields with wide applications, such as planning mobile commerce environments and managing online shopping websites. However, an important factor, i.e., actual utilities (i.e., profi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::97845c05eaedcb405b6cc20322cc5044
https://doi.org/10.1007/978-3-642-31087-4_63
https://doi.org/10.1007/978-3-642-31087-4_63
Publikováno v:
Database Systems for Advanced Applications ISBN: 9783642201486
DASFAA (1)
DASFAA (1)
Mining user behaviors in mobile environments is an emerging and important topic in data mining fields. Previous researches have combined moving paths and purchase transactions to find mobile sequential patterns. However, these patterns cannot reflect
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4871a2ac8e7d983c272c500f4980a91d
https://doi.org/10.1007/978-3-642-20149-3_18
https://doi.org/10.1007/978-3-642-20149-3_18