소장자료
LDR | 01704nam a2200277 a 4500 | ||
001 | 0091885882▲ | ||
005 | 20180519222427▲ | ||
008 | 110322s2011 cc a 001 0 eng d▲ | ||
010 | ▼abl2011008063▲ | ||
020 | ▼a9781449388348 (pbk.)▲ | ||
040 | ▼aNjBwBT▼cNjBwBT▲ | ||
050 | 1 | 4 | ▼aQA76.9.D343▼bR87 2011▲ |
082 | 0 | 4 | ▼a006.3/12▼221▲ |
090 | ▼a006.312▼bR965m▲ | ||
100 | 1 | ▼aRussell, Matthew A.,▼ccomputer scientist.▲ | |
245 | 1 | 0 | ▼aMining the social web /▼cMatthew A. Russell.▲ |
260 | ▼aBeijing ;▼aCambridge [Mass.] :▼bO'Reilly,▼cc2011.▲ | ||
300 | ▼axx, 332 p. :▼bill. ;▼c24 cm.▲ | ||
500 | ▼aIncludes index.▲ | ||
505 | 0 | ▼aIntroduction : hacking on Twitter data --Microformats : semantic markup and common sense collide --Mailboxes : oldies but goodies --Twitter : friends, followers, and setwise operations --Twitter : the tweet, the whole tweet, and nothing but the tweet --LinkedIn : clustering your professional network for fun (and profit?) --Google buzz : TF-IDF, cosine similarity, and collocations --Blogs et al. : natural language processing (and beyond) --Facebook : the all-in-one wonder --The semantic web : a cocktail discussion.▲ | |
520 | ▼aFacebook, Twitter, and LinkedIn generate a tremendous amount of valuable social data, but how can you find out who's making connections with social media, what they're talking about, or where they're located? This book shows you how to answer these questions and more. Each chapter introduces techniques for mining data in different areas of the social web, including blogs and email. .▲ | ||
650 | 0 | ▼aData mining.▲ | |
650 | 0 | ▼aOnline social networks.▲ | |
650 | 7 | ▼aArtificial intelligence.▼2sears▲ | |
650 | 7 | ▼aSocial networking.▼2sears▲ | |
999 | ▼c정영주▲ |
Mining the social web
자료유형
국외단행본
서명/책임사항
Mining the social web / Matthew A. Russell.
개인저자
Russell, Matthew A. , computer scientist.
발행사항
Beijing ; Cambridge [Mass.] : O'Reilly , c2011.
형태사항
xx, 332 p. : ill. ; 24 cm.
일반주기
Includes index.
내용주기
Introduction : hacking on Twitter data --Microformats : semantic markup and common sense collide --Mailboxes : oldies but goodies --Twitter : friends, followers, and setwise operations --Twitter : the tweet, the whole tweet, and nothing but the tweet --LinkedIn : clustering your professional network for fun (and profit?) --Google buzz : TF-IDF, cosine similarity, and collocations --Blogs et al. : natural language processing (and beyond) --Facebook : the all-in-one wonder --The semantic web : a cocktail discussion.
요약주기
Facebook, Twitter, and LinkedIn generate a tremendous amount of valuable social data, but how can you find out who's making connections with social media, what they're talking about, or where they're located? This book shows you how to answer these questions and more. Each chapter introduces techniques for mining data in different areas of the social web, including blogs and email. .
ISBN
9781449388348 (pbk.)
청구기호
006.312 R965m
소장정보
예도서예약
서서가에없는책 신고
보보존서고신청
캠캠퍼스대출
우우선정리신청
배자료배달신청
문문자발송
출청구기호출력
학소장학술지 원문서비스
등록번호 | 청구기호 | 소장처 | 도서상태 | 반납예정일 | 서비스 |
---|
북토크
자유롭게 책을 읽고
느낀점을 적어주세요
글쓰기
느낀점을 적어주세요
청구기호 브라우징
관련 인기대출 도서