Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Hisako Shiohara"'
Autor:
Shoichi Nagano, Yusuke Tanaka, Tatsushi Matsubayashi, Sato Daisuke, Miyamoto Masaru, Shinya Ooi, Takayuki Adachi, Hiroyuki Toda, Hisako Shiohara, Yuichi Muto
Publikováno v:
Transactions of the Japanese Society for Artificial Intelligence. 35:D-wd05_1
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::463ce6e4791b867bc1dece2a7d225b64
https://doi.org/10.1527/tjsai.d-wd05
https://doi.org/10.1527/tjsai.d-wd05
Publikováno v:
Proceedings of the International AAAI Conference on Web and Social Media. 4:259-262
We propose a new method of recommending questions to answerers so as to suit the answerers’ knowledge and interests in User-Interactive Question Answering (QA) communities. A question recommender can help answerers select the questions that interes
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4af69398e7b21789d0be228651974cd6
https://doi.org/10.1609/icwsm.v4i1.14042
https://doi.org/10.1609/icwsm.v4i1.14042
Publikováno v:
Data Mining and Knowledge Discovery: Theory, Tools, and Technology
We introduce the problem of mining sequential patterns among items in a large database of sequences. For example, let usconsider a database recording storm patterns, in such an area, at such a given time. An example of the patterns we areinterested i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a9ecb0538ee4b6ff0aff450b321de4c2
https://doi.org/10.1117/12.381735
https://doi.org/10.1117/12.381735
Publikováno v:
Visual Information and Information Systems ISBN: 9783540660798
VISUAL
VISUAL
Enterprises are now storing large amount of a data and data warehousing and data mining are gaining a great deal of attention for identifying effective business strategies. Data mining extracts effective patterns and rules from data warehouses automa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::27ce32e7ca027556fee7b862b296d80d
https://doi.org/10.1007/3-540-48762-x_12
https://doi.org/10.1007/3-540-48762-x_12
Publikováno v:
Research and Development in Knowledge Discovery and Data Mining ISBN: 9783540643838
PAKDD
PAKDD
Data mining has drawn a great deal of attention as a technique for introducing effective business strategies. Data mining derives effective patterns and rules from a large amount of data to support the decision making process. Although various approa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f2a9aa19a72134cb1310fa82615bd166
https://doi.org/10.1007/3-540-64383-4_15
https://doi.org/10.1007/3-540-64383-4_15
Publikováno v:
NTT Technical Review. Feb2016, Vol. 14 Issue 2, p1-7. 7p.
The Fourth Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2000) was held at the Keihanna-Plaza, Kyoto, Japan, April 18 - 20, 2000. PAKDD 2000 provided an international forum for researchers and applica tion developers to shar
This book constitutes the refereed proceedings of the Second Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD-98, held in Melbourne, Australia, in April 1998. The book presents 30 revised full papers selected from a total of 110