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024 7 _a10.1007/978-3-319-14723-9
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072 7 _aUNH
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072 7 _aCOM030000
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245 1 0 _aMining, Modeling, and Recommending 'Things' in Social Media
_h[electronic resource] :
_b4th International Workshops, MUSE 2013, Prague, Czech Republic, September 23, 2013, and MSM 2013, Paris, France, May 1, 2013, Revised Selected Papers /
_cedited by Martin Atzmueller, Alvin Chin, Christoph Scholz, Christoph Trattner.
250 _a1st ed. 2015.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2015.
300 _aIX, 151 p. 47 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
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490 1 _aLecture Notes in Artificial Intelligence ;
_v8940
_aLecture Notes in Computer Science
_v8940
505 0 _aExploratory Subgroup Analytics on Ubiquitous Data -- Personalized Network Activity Feeds: Finding Needles in Haystacks -- Ontology-Enabled Access Control and Privacy Recommendations -- Refining Frequency-Based Tag Reuse Predictions by Means of Time and Semantic Context -- Forgetting the Words but Remembering the Meaning: Modeling Forgetting in a Verbal and Semantic Tag Recommender -- Utilizing Online Social Network and Location-Based Data to Recommend Products and Categories in Online Marketplaces -- Open Smartphone Data for Structured Mobility and Utilization Analysis in Ubiquitous Systems -- Predictability Analysis of Aperiodic and Periodic Model for Long-Term Human Mobility Using Ambient Sensors.
520 _aThis book constitutes the thoroughly refereed joint post-workshop proceedings of the 4th International Workshop on Mining Ubiquitous and Social Environments, MUSE 2013, held in Prague, Czech Republic, in September 2013, and the 4th International Workshop on Modeling Social Media, MSM 2013, held in Paris, France, in May 2013. The 8 full papers included in the book are revised and significantly extended versions of papers submitted to the workshops. The focus is on collective intelligence in ubiquitous and social environments. Issues tackled include personalization in social streams, recommendations exploiting social and ubiquitous data, and efficient information processing in social systems. Furthermore, this book presents work dealing with the problem of mining patterns from ubiquitous social data, including mobility mining and exploratory methods for ubiquitous data analysis.
650 0 _aInformation storage and retrieval.
650 0 _aData mining.
650 0 _aArtificial intelligence.
650 1 4 _aInformation Storage and Retrieval.
_0https://scigraph.springernature.com/ontologies/product-market-codes/I18032
650 2 4 _aData Mining and Knowledge Discovery.
_0https://scigraph.springernature.com/ontologies/product-market-codes/I18030
650 2 4 _aArtificial Intelligence.
_0https://scigraph.springernature.com/ontologies/product-market-codes/I21000
700 1 _aAtzmueller, Martin.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aChin, Alvin.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aScholz, Christoph.
_eeditor.
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_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aTrattner, Christoph.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783319147246
776 0 8 _iPrinted edition:
_z9783319147222
830 0 _aLecture Notes in Artificial Intelligence ;
_v8940
830 0 _aLecture Notes in Computer Science ;
_v8940
856 4 0 _uhttps://doi.org/10.1007/978-3-319-14723-9
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