LEADER 01668nam 2200361 n 450 001 996396424603316 005 20221108090648.0 035 $a(CKB)4330000000334193 035 $a(EEBO)2240902781 035 $a(UnM)99826076 035 $a(UnM)9927808900971 035 $a(EXLCZ)994330000000334193 100 $a19941126d1675 uy | 101 0 $aeng 135 $aurbn||||a|bb| 200 10$aTo the right honorable, the right worshipful, and the reverend, the lords, knights, gentlemen, and clergy, of the diocess and county of Worcester; the humble proposal of a native of that county, in the behalf of ingenious young scholars, that have a serious desire to be educated in good literature$b[electronic resource] 210 $a[Oxford $cprinted by Leonard Lichfield$d1675] 215 $a1 sheet ([1] p.) 300 $aImprint from Wing. 300 $aSigned at end: Tho. Good, D.D. 300 $aReproduction of the original in the Bodleian Library. 330 $aeebo-0014 607 $aWorcester (England)$xHistory$vEarly works to 1800 607 $aGreat Britain$xHistory$yCharles II, 16601685$vEarly works to 1800 700 $aGood$b Thomas$f1609-1678.$01003297 801 0$bCu-RivES 801 1$bCu-RivES 801 2$bCStRLIN 801 2$bWaOLN 906 $aBOOK 912 $a996396424603316 996 $aTo the right honorable, the right worshipful, and the reverend, the lords, knights, gentlemen, and clergy, of the diocess and county of Worcester; the humble proposal of a native of that county, in the behalf of ingenious young scholars, that have a serious desire to be educated in good literature$92354374 997 $aUNISA LEADER 04389nam 22006255 450 001 9910300584803321 005 20251116195856.0 010 $a3-319-78196-0 024 7 $a10.1007/978-3-319-78196-9 035 $a(CKB)4100000004243845 035 $a(DE-He213)978-3-319-78196-9 035 $a(MiAaPQ)EBC5390240 035 $a(EXLCZ)994100000004243845 100 $a20180510d2018 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aSocial Network Based Big Data Analysis and Applications /$fedited by Mehmet Kaya, Jalal Kawash, Suheil Khoury, Min-Yuh Day 205 $a1st ed. 2018. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2018. 215 $a1 online resource (X, 249 p. 89 illus., 77 illus. in color.) 225 1 $aLecture Notes in Social Networks,$x2190-5428 311 08$a3-319-78195-2 327 $aChapter1. Twitter as a Source for Time and Domain Dependent Sentiment Lexicons -- Chapter2. Hiding in Plain Sight: The Anatomy of Malicious Pages on Facebook -- Chapter3. Extraction and Analysis of Dynamic Conversational Networks from TV Series -- Chapter4. Diversity and Influence as Key Measures to Assess Candidates for Hiring or Promotion in Academia -- Chapter5. Timelines of Prostate Cancer Biomarkers -- Chapter6. Exploring the Role of Intrinsic Nodal Activation on the Spread of Influence in Complex Networks -- Chapter7. Influence and Extension of the Spiral of Silence in Social Networks: A Data-driven Approach -- Chapter8. Prepaid or Postpaid? That is the question.\\ Novel Methods of Subscription Type Prediction in Mobile Phone Services -- Chapter9. Dynamic Pattern Detection for Big Data Stream Analytics -- Chapter10. Community-based Recommendation for Cold-Start Problem: A Case Study of Reciprocal Online Dating Recommendation -- Chapter11. Combining Feature Extraction and Clustering for Better Face Recognition. 330 $aThis book is a timely collection of chapters that present the state of the art within the analysis and application of big data. Working within the broader context of big data, this text focuses on the hot topics of social network modelling and analysis such as online dating recommendations, hiring practices, and subscription-type prediction in mobile phone services. Manuscripts are expanded versions of the best papers presented at the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM?2016), which was held in August 2016. The papers were among the best featured at the meeting and were then improved and extended substantially. Social Network Based Big Data Analysis and Applications will appeal to students and researchers in the field. 410 0$aLecture Notes in Social Networks,$x2190-5428 606 $aSocial sciences?Data processing 606 $aSocial sciences?Computer programs 606 $aBig data 606 $aData mining 606 $aPhysics 606 $aComputational Social Sciences$3https://scigraph.springernature.com/ontologies/product-market-codes/X34000 606 $aBig Data$3https://scigraph.springernature.com/ontologies/product-market-codes/I29120 606 $aData Mining and Knowledge Discovery$3https://scigraph.springernature.com/ontologies/product-market-codes/I18030 606 $aApplications of Graph Theory and Complex Networks$3https://scigraph.springernature.com/ontologies/product-market-codes/P33010 615 0$aSocial sciences?Data processing. 615 0$aSocial sciences?Computer programs. 615 0$aBig data. 615 0$aData mining. 615 0$aPhysics. 615 14$aComputational Social Sciences. 615 24$aBig Data. 615 24$aData Mining and Knowledge Discovery. 615 24$aApplications of Graph Theory and Complex Networks. 676 $a302.30285 702 $aKaya$b Mehmet$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aKawash$b Jalal$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aKhoury$b Suheil$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aDay$b Min-Yuh$4edt$4http://id.loc.gov/vocabulary/relators/edt 906 $aBOOK 912 $a9910300584803321 996 $aSocial Network Based Big Data Analysis and Applications$91927998 997 $aUNINA