Bis zu 50 % günstiger als neu 3 Jahre rebuy Garantie Professionelles Refurbishment
ElektronikMedien
Tipps & News
AppleAlle anzeigen
TabletsAlle anzeigen
HandyAlle anzeigen
Fairphone
AppleAlle anzeigen
iPhone Air Generation
GoogleAlle anzeigen
Pixel Fold
HonorAlle anzeigen
HuaweiAlle anzeigen
Honor SerieY-Serie
NothingAlle anzeigen
OnePlusAlle anzeigen
OnePlus 11 GenerationOnePlus 12 Generation
SamsungAlle anzeigen
Galaxy XcoverWeitere Modelle
SonyAlle anzeigen
Weitere Modelle
XiaomiAlle anzeigen
Weitere Modelle
Tablets & eBook ReaderAlle anzeigen
Google
AppleAlle anzeigen
HuaweiAlle anzeigen
MatePad Pro Serie
MicrosoftAlle anzeigen
XiaomiAlle anzeigen
Kameras & ZubehörAlle anzeigen
ObjektiveAlle anzeigen
System & SpiegelreflexAlle anzeigen
WearablesAlle anzeigen
Fitness TrackerAlle anzeigen
SmartwatchesAlle anzeigen
Xiaomi
Konsolen & ZubehörAlle anzeigen
Lenovo Legion GoMSI Claw
NintendoAlle anzeigen
Nintendo Switch Lite
PlayStationAlle anzeigen
XboxAlle anzeigen
Audio & HiFiAlle anzeigen
KopfhörerAlle anzeigen
FairphoneGoogle
LautsprecherAlle anzeigen
Beats by Dr. DreGoogleYamahatonies
iPodAlle anzeigen

Handgeprüfte Gebrauchtware

Bis zu 50 % günstiger als neu

Der Umwelt zuliebe

Community detection and mining in social media

Lei Tang, Huan Liu (Broschiert, Englisch)

Keine Bewertungen vorhanden
Optischer Zustand
Beschreibung
The past decade has witnessed the emergence of participatory Web and social media, bringing people together in many creative ways. Millions of users are playing, tagging, working, and socializing online, demonstrating new forms of collaboration, communication, and intelligence that were hardly imaginable just a short time ago. Social media also helps reshape business models, sway opinions and emotions, and opens up numerous possibilities to study human interaction and collective behavior in an unparalleled scale. This lecture, from a data mining perspective, introduces characteristics of social media, reviews representative tasks of computing with social media, and illustrates associated challenges. It introduces basic concepts, presents state-of-the-art algorithms with easy-to-understand examples, and recommends effective evaluation methods. In particular, we discuss graph-based community detection techniques and many important extensions that handle dynamic, heterogeneous networks in social media. We also demonstrate how discovered patterns of communities can be used for social media mining. The concepts, algorithms, and methods presented in this lecture can help harness the power of social media and support building socially-intelligent systems. This book is an accessible introduction to the study of \emph{community detection and mining in social media}. It is an essential reading for students, researchers, and practitioners in disciplines and applications where social media is a key source of data that piques our curiosity to understand, manage, innovate, and excel. This book is supported by additional materials, including lecture slides, the complete set of figures, key references, some toy data sets used in the book, and the source code of representative algorithms. The readers are encouraged to visit the book website for the latest information. Table of Contents: Social Media and Social Computing / Nodes, Ties, and Influence / Community Detection and Evaluation / Communities in Heterogeneous Networks / Social Media Mining
Dieses Produkt haben wir gerade leider nicht auf Lager.
ab 24,99 €
Derzeit nicht verfügbar
Derzeit nicht verfügbar

Handgeprüfte Gebrauchtware

Bis zu 50 % günstiger als neu

Der Umwelt zuliebe

Technische Daten


Erscheinungsdatum
09.09.2010
Sprache
Englisch
EAN
9783031007729
Herausgeber
Springer International Publishing
Serien- oder Bandtitel
Synthesis Lectures on Data Mining and Knowledge Discovery
Sonderedition
Nein
Autor
Lei Tang, Huan Liu
Seitenanzahl
123
Einbandart
Broschiert
Autorenporträt
Lei Tang is a scientist at Yahoo! Labs. He received his Ph.D. in computer science and engineering at Arizona State University in 2010 and BS from Fudan University, China in 2004. His research interests include social computing, data mining, and social media mining, in particular, relational learning with heterogeneous networks, group evolution, profiling and influence modeling, and collective behavior modeling and prediction in social media. He was awarded ASU GPSA Research Grant, SDM Doctoral Student Forum Fellowship, Student Travel Awards and Scholarships in various conferences. He is a member of ACM and IEEE. Lei Tang is a scientist at Yahoo! Labs. He received his Ph.D. in computer science and engineering at Arizona State University in 2010 and BS from Fudan University, China in 2004. His research interests include social computing, data mining, and social media mining, in particular, relational learning with heterogeneous networks, group evolution, profiling and influence modeling, and collective behavior modeling and prediction in social media. He was awarded ASU GPSA Research Grant, SDM Doctoral Student Forum Fellowship, Student Travel Awards and Scholarships in various conferences. He is a member of ACM and IEEE.
Thema-Inhalt
UNF - Data Mining UYQE - Wissensbasierte Systeme, Expertensysteme PBT - Wahrscheinlichkeitsrechnung und Statistik
Höhe
235 mm
Breite
19.1 cm

Hersteller: Springer, Europaplatz 3, Heidelberg, Deutschland, 69115, ProductSafety@springernature.com, Springer Nature Customer Service Center GmbH

Warnhinweise und Sicherheitsinformationen

Informationen nach EU Data Act

-.-
Leider noch keine Bewertungen
Leider noch keine Bewertungen
Schreib die erste Bewertung für dieses Produkt!
Wenn du eine Bewertung für dieses Produkt schreibst, hilfst du allen Kund:innen, die noch überlegen, ob sie das Produkt kaufen wollen. Vielen Dank, dass du mitmachst!