Social Network Based Big Data Analysis and Applications (eBook)

eBook Download: PDF
2018 | 1st ed. 2018
X, 249 Seiten
Springer International Publishing (Verlag)
978-3-319-78196-9 (ISBN)

Lese- und Medienproben

Social Network Based Big Data Analysis and Applications -
Systemvoraussetzungen
96,29 inkl. MwSt
  • Download sofort lieferbar
  • Zahlungsarten anzeigen

This 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.



Mehmet Kaya

He received the BSc. degree in Electrical and Electronics Engineering in 1996 and the MSc. and PhD. degrees in Computer Engineering in 1999 and 2003, respectively, all from Firat University, Elazig, Turkey. Currently, he is a Professor in the Department of Computer Engineering, Firat University. He spent 2002 as a Visiting Scholar at the ADSA Laboratory, Department of Computer Science, University of Calgary, Canada.

He has published over 80 papers in refereed international journals and conferences. His primary work and research interests are in the areas of data mining, social network analysis and mining, multi-agent systems, machine learning, and soft computing.

 

Jalal Kawash

He received the PhD degree in Computer Science in 2000 from University of Calgary. Currently, he is a Teaching Professor in the Department of Computer Science, University of Calgary. His primary work and research interests are in the areas of distributed systems, web and internet computing, and mobile virtual communities.

 

Suheil Khoury

Suheil Khoury has taught in mathematics departments for more than 16 years at institutions such as the College of Science and Technology, Jerusalem; the University of Houston-Downtown, USA; and Amman University, Jordan. His areas of research and teaching interest are differential equations, mathematical fluid dynamics, and computational and numerical mathematics. He won a teaching award from Michigan State University and the Shoman Prize in Mathematics.

 

Min-Yuh Day

Dr. Min-Yuh Day is an Assistant Professor in the Department of Information Management at Tamkang University, Taiwan. Prior to joining the faculty at TKU in 2011, he was a Postdoctoral Fellow in the Intelligent Agent Systems Lab, Institute of Information Science, Academia Sinica, Taiwan. He received the Ph.D. degree from the Department of Information Management at National Taiwan University, Taiwan. He received his MBA in Management Information System from Tamkang University, Taiwan. His current research interests include Electronic Commerce, Financial Technology, Social Media Marketing, Information Systems Evaluation,  Question Answering Systems, Data Mining and Text Mining, and Biomedical Informatics. He has published papers in Information & Management, Decision Support Systems, Integrated Computer-Aided Engineering, ACM Transactions on Asian Language Information Processing, and a number of international conference proceedings.

Mehmet Kaya He received the BSc. degree in Electrical and Electronics Engineering in 1996 and the MSc. and PhD. degrees in Computer Engineering in 1999 and 2003, respectively, all from Firat University, Elazig, Turkey. Currently, he is a Professor in the Department of Computer Engineering, Firat University. He spent 2002 as a Visiting Scholar at the ADSA Laboratory, Department of Computer Science, University of Calgary, Canada. He has published over 80 papers in refereed international journals and conferences. His primary work and research interests are in the areas of data mining, social network analysis and mining, multi-agent systems, machine learning, and soft computing.   Jalal Kawash He received the PhD degree in Computer Science in 2000 from University of Calgary. Currently, he is a Teaching Professor in the Department of Computer Science, University of Calgary. His primary work and research interests are in the areas of distributed systems, web and internet computing, and mobile virtual communities.   Suheil Khoury Suheil Khoury has taught in mathematics departments for more than 16 years at institutions such as the College of Science and Technology, Jerusalem; the University of Houston-Downtown, USA; and Amman University, Jordan. His areas of research and teaching interest are differential equations, mathematical fluid dynamics, and computational and numerical mathematics. He won a teaching award from Michigan State University and the Shoman Prize in Mathematics.   Min-Yuh Day Dr. Min-Yuh Day is an Assistant Professor in the Department of Information Management at Tamkang University, Taiwan. Prior to joining the faculty at TKU in 2011, he was a Postdoctoral Fellow in the Intelligent Agent Systems Lab, Institute of Information Science, Academia Sinica, Taiwan. He received the Ph.D. degree from the Department of Information Management at National Taiwan University, Taiwan. He received his MBA in Management Information System from Tamkang University, Taiwan. His current research interests include Electronic Commerce, Financial Technology, Social Media Marketing, Information Systems Evaluation,  Question Answering Systems, Data Mining and Text Mining, and Biomedical Informatics. He has published papers in Information & Management, Decision Support Systems, Integrated Computer-Aided Engineering, ACM Transactions on Asian Language Information Processing, and a number of international conference proceedings.

Chapter1. 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.

Erscheint lt. Verlag 10.5.2018
Reihe/Serie Lecture Notes in Social Networks
Lecture Notes in Social Networks
Zusatzinfo X, 249 p. 89 illus., 77 illus. in color.
Verlagsort Cham
Sprache englisch
Themenwelt Mathematik / Informatik Informatik Datenbanken
Sozialwissenschaften Soziologie Empirische Sozialforschung
Technik
Schlagworte ASONAM proceedings • big data streams • community detection • Computational Social Sciences • influence analysis • pattern recognition • recommendation and prediction • sentiment analysis • social network analysis and mining
ISBN-10 3-319-78196-0 / 3319781960
ISBN-13 978-3-319-78196-9 / 9783319781969
Haben Sie eine Frage zum Produkt?
PDFPDF (Wasserzeichen)
Größe: 7,0 MB

DRM: Digitales Wasserzeichen
Dieses eBook enthält ein digitales Wasser­zeichen und ist damit für Sie persona­lisiert. Bei einer missbräuch­lichen Weiter­gabe des eBooks an Dritte ist eine Rück­ver­folgung an die Quelle möglich.

Dateiformat: PDF (Portable Document Format)
Mit einem festen Seiten­layout eignet sich die PDF besonders für Fach­bücher mit Spalten, Tabellen und Abbild­ungen. Eine PDF kann auf fast allen Geräten ange­zeigt werden, ist aber für kleine Displays (Smart­phone, eReader) nur einge­schränkt geeignet.

Systemvoraussetzungen:
PC/Mac: Mit einem PC oder Mac können Sie dieses eBook lesen. Sie benötigen dafür einen PDF-Viewer - z.B. den Adobe Reader oder Adobe Digital Editions.
eReader: Dieses eBook kann mit (fast) allen eBook-Readern gelesen werden. Mit dem amazon-Kindle ist es aber nicht kompatibel.
Smartphone/Tablet: Egal ob Apple oder Android, dieses eBook können Sie lesen. Sie benötigen dafür einen PDF-Viewer - z.B. die kostenlose Adobe Digital Editions-App.

Buying eBooks from abroad
For tax law reasons we can sell eBooks just within Germany and Switzerland. Regrettably we cannot fulfill eBook-orders from other countries.

Mehr entdecken
aus dem Bereich
der Grundkurs für Ausbildung und Praxis

von Ralf Adams

eBook Download (2023)
Carl Hanser Verlag GmbH & Co. KG
29,99
Das umfassende Handbuch

von Wolfram Langer

eBook Download (2023)
Rheinwerk Computing (Verlag)
34,93
Das umfassende Lehrbuch

von Michael Kofler

eBook Download (2024)
Rheinwerk Computing (Verlag)
34,93