000 03884nam a22005175i 4500
001 978-3-031-01898-5
003 DE-He213
005 20240730163745.0
007 cr nn 008mamaa
008 220601s2009 sz | s |||| 0|eng d
020 _a9783031018985
_9978-3-031-01898-5
024 7 _a10.1007/978-3-031-01898-5
_2doi
050 4 _aQA76.9.D343
072 7 _aUNF
_2bicssc
072 7 _aUYQE
_2bicssc
072 7 _aCOM021030
_2bisacsh
072 7 _aUNF
_2thema
072 7 _aUYQE
_2thema
082 0 4 _a006.312
_223
100 1 _aAgarwal, Nitin.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_980403
245 1 0 _aModeling and Data Mining in Blogosphere
_h[electronic resource] /
_cby Nitin Agarwal, Huan Liu.
250 _a1st ed. 2009.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2009.
300 _aIX, 127 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aSynthesis Lectures on Data Mining and Knowledge Discovery,
_x2151-0075
505 0 _aModeling Blogosphere -- Blog Clustering and Community Discovery -- Influence and Trust -- Spam Filtering in Blogosphere -- Data Collection and Evaluation.
520 _aThis book offers a comprehensive overview of the various concepts and research issues about blogs or weblogs. It introduces techniques and approaches, tools and applications, and evaluation methodologies with examples and case studies. Blogs allow people to express their thoughts, voice their opinions, and share their experiences and ideas. Blogs also facilitate interactions among individuals creating a network with unique characteristics. Through the interactions individuals experience a sense of community. We elaborate on approaches that extract communities and cluster blogs based on information of the bloggers. Open standards and low barrier to publication in Blogosphere have transformed information consumers to producers, generating an overwhelming amount of ever-increasing knowledge about the members, their environment and symbiosis. We elaborate on approaches that sift through humongous blog data sources to identify influential and trustworthy bloggers leveraging content and network information. Spam blogs or "splogs" are an increasing concern in Blogosphere and are discussed in detail with the approaches leveraging supervised machine learning algorithms and interaction patterns. We elaborate on data collection procedures, provide resources for blog data repositories, mention various visualization and analysis tools in Blogosphere, and explain conventional and novel evaluation methodologies, to help perform research in the Blogosphere. The book is supported by additional material, including lecture slides as well as the complete set of figures used in the book, and the reader is encouraged to visit the book website for the latest information. Table of Contents: Modeling Blogosphere / Blog Clustering and Community Discovery / Influence and Trust / Spam Filtering in Blogosphere / Data Collection and Evaluation.
650 0 _aData mining.
_93907
650 0 _aStatisticsĀ .
_931616
650 1 4 _aData Mining and Knowledge Discovery.
_980404
650 2 4 _aStatistics.
_914134
700 1 _aLiu, Huan.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_980405
710 2 _aSpringerLink (Online service)
_980406
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783031007705
776 0 8 _iPrinted edition:
_z9783031030260
830 0 _aSynthesis Lectures on Data Mining and Knowledge Discovery,
_x2151-0075
_980407
856 4 0 _uhttps://doi.org/10.1007/978-3-031-01898-5
912 _aZDB-2-SXSC
942 _cEBK
999 _c84954
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