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Mining Human Mobility in Location-Based Social Networks
Huiji Gao, Huan Liu (Broschiert, Englisch)
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Beschreibung
In recent years, there has been a rapid growth of location-based social networking services, such as Foursquare and Facebook Places, which have attracted an increasing number of users and greatly enriched their urban experience. Typical location-based social networking sites allow a user to "check in" at a real-world POI (point of interest, e.g., a hotel, restaurant, theater, etc.), leave tips Dieses Produkt haben wir gerade leider nicht auf Lager.
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Technische Daten
Erscheinungsdatum
02.05.2015
Sprache
Englisch
EAN
9783031007804
Herausgeber
Springer International Publishing
Serien- oder Bandtitel
Synthesis Lectures on Data Mining and Knowledge Discovery
Sonderedition
Nein
Autor
Huiji Gao, Huan Liu
Seitenanzahl
99
Einbandart
Broschiert
Autorenporträt
Huiji Gao is an applied researcher at LinkedIn. He received his Ph.D. of Computer Science and Engineering at Arizona State University in 2014, and B.S./M.S. from Beijing University of Posts and Telecommunications in 2007 and 2010, respectively. His research interests include social computing, crowdsourcing for disaster management system, recommender systems, and mobile data mining on location-based social networks. He was awarded the 2014 ASU Graduate Education Dissertation Fellowship, the 2014 ASU President's Award for Innovation, the 3rd Place Dedicated Task 2 Next Location Prediction of Nokia Mobile Data Challenge 2012, and Student Travel Awards and Scholarships in various conferences. Huan Liu is a professor of Computer Science and Engineering at Arizona State University. He obtained his Ph.D. in Computer Science at University of Southern California and B.Eng. in Computer Science and Electrical Engineering at Shanghai JiaoTong University. Before he joined ASU, he worked at TelecomAustralia Research Labs and was on the faculty at National University of Singapore. He was recognized for excellence in teaching and research in Computer Science and Engineering at Arizona State University. His research interests are in data mining, machine learning, social computing, feature selection, and artificial intelligence, investigating problems that arise in many real-world, data-intensive applications with high-dimensional data of disparate forms such as social media. His well-cited publications include books, book chapters, encyclopedia entries as well as conference and journal papers. He is Editor in Chief of ACM Transaction on Intelligent Systems and Technology (TIST), serves on journal editorial boards and numerous conference program committees, and is a founding organizer of the International Conference Series on Social Computing, Behavioral-Cultural Modeling, and Prediction. He is an IEEE Fellow.
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
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