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Advances in knowledge discovery and data mining : 18th Pacific-Asia Conference, PAKDD 2014, Tainan, Taiwan, May 13-16, 2014. Proceedings. Part I 해당 항목을 미리보기
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Advances in knowledge discovery and data mining : 18th Pacific-Asia Conference, PAKDD 2014, Tainan, Taiwan, May 13-16, 2014. Proceedings. Part I

저자: Vincent S Tseng
출판사: Cham : Springer, 2014.
시리즈: Lecture notes in computer science., Lecture notes in artificial intelligence ;, 8443.; LNCS sublibrary., SL 7,, Artificial intelligence.
판/형식:   전자도서 : 문서 : 컨퍼런스 간행물 : 영어모든 판과 형식 보기
데이터베이스:WorldCat
요약:
The two-volume set LNAI 8443 + LNAI 8444 constitutes the refereed proceedings of the 18th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2014, held in Tainan, Taiwan, in May 2014. The 40 full papers and the 60 short papers presented within these proceedings were carefully reviewed and selected from 371 submissions. They cover the general fields of pattern mining; social network and social  더 읽기…
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장르/형태: Electronic books
Conference proceedings
Congresses
추가적인 물리적 형식: Printed edition:
자료 유형: 컨퍼런스 간행물, 문서, 인터넷 자료
문서 형식: 인터넷 자원, 컴퓨터 파일
모든 저자 / 참여자: Vincent S Tseng
ISBN: 9783319066080 3319066080 3319066072 9783319066073
OCLC 번호: 880138330
메모: International conference proceedings.
Includes author index.
설명: 1 online resource (xxx, 622 pages) : illustrations.
내용: Pattern mining --
Social network and social media --
Classification --
Graph and network mining --
Applications --
Privacy preserving.
일련 제목: Lecture notes in computer science., Lecture notes in artificial intelligence ;, 8443.; LNCS sublibrary., SL 7,, Artificial intelligence.
다른 제목 PAKDD 2014
책임: Vincent S. Tseng, Tu Bao Ho, Zhi-Hua Zhou, Arbee L. P. Chen, Hung-Yu Kao (eds.).

초록:

The two-volume set LNAI 8443 + LNAI 8444 constitutes the refereed proceedings of the 18th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2014, held in Tainan, Taiwan, in May 2014. The 40 full papers and the 60 short papers presented within these proceedings were carefully reviewed and selected from 371 submissions. They cover the general fields of pattern mining; social network and social media; classification; graph and network mining; applications; privacy preserving; recommendation; feature selection and reduction; machine learning; temporal and spatial data; novel algorithms; clustering; biomedical data mining; stream mining; outlier and anomaly detection; multi-sources mining; and unstructured data and text mining.

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