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Volumn , Issue , 2011, Pages 661-663

Predicting popularity of online distributed applications

Author keywords

Data mining; Machine learning; Online distributed application; Popularity

Indexed keywords

DISTRIBUTED APPLICATIONS; MACHINE LEARNING; MACHINE LEARNING TECHNIQUES; ON-LINE APPLICATIONS; POPULARITY; UNIQUE FEATURES;

EID: 79952601206     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1940761.1940859     Document Type: Conference Paper
Times cited : (23)

References (9)
  • 3
    • 84862971665 scopus 로고    scopus 로고
    • The success factors for App Store-like platform business from the perspective of third-party developers: An empirical study based on a dual model framework
    • Kim, H.J., Kim, I., & Lee, H.G. (2010). The success factors for App Store-like platform business from the perspective of third-party developers: An empirical study based on a dual model framework. Proceedings of Pacific Asia Conference on Information Systems 2010, 242-283.
    • (2010) Proceedings of Pacific Asia Conference on Information Systems 2010 , pp. 242-283
    • Kim, H.J.1    Kim, I.2    Lee, H.G.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.