Forecasting the rise and fall of volatile point-of-interests
作者： Xinjiang Lu , Zhiwen Yu , Chuanren Liu , Yanchi Liu , Hui Xiong
DOI: 10.1109/BIGDATA.2017.8258060
关键词:
摘要: Volatile Point-of-Interests (vPOIs) refer to those small businesses which appear and disappear quickly in cities. How to maintain and incubate small business in the urban area is …
sci-hub.se 参考文章(14)
Slobodan Vucetic, Zoran Obradovic, Vladan Radosavljevic, Continuous Conditional Random Fields for Regression in Remote Sensing european conference on artificial intelligence. pp. 809- 814 ,(2010)
Kyosuke Nishida, Hiroyuki Toda, Takeshi Kurashima, Yoshihiko Suhara, Probabilistic identification of visited point-of-interest for personalized automatic check-in ubiquitous computing. pp. 631- 642 ,(2014) , 10.1145/2632048.2632092
Bin Liu, Yanjie Fu, Zijun Yao, Hui Xiong, Learning geographical preferences for point-of-interest recommendation knowledge discovery and data mining. pp. 1043- 1051 ,(2013) , 10.1145/2487575.2487673
Yiyang Yang, Zhiguo Gong, Leong Hou U, Identifying Points of Interest Using Heterogeneous Features ACM Transactions on Intelligent Systems and Technology. ,vol. 5, pp. 68- ,(2014) , 10.1145/2668111
Soo Y Kim, Arun Upneja, None, Predicting restaurant financial distress using decision tree and AdaBoosted decision tree models Economic Modelling. ,vol. 36, pp. 354- 362 ,(2014) , 10.1016/J.ECONMOD.2013.10.005
Lyndon S. Kennedy, Mor Naaman, Generating diverse and representative image search results for landmarks Proceeding of the 17th international conference on World Wide Web - WWW '08. pp. 297- 306 ,(2008) , 10.1145/1367497.1367539
John D. Lafferty, Andrew McCallum, Fernando C. N. Pereira, Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data international conference on machine learning. pp. 282- 289 ,(2001)
Khashayar Rohanimanesh, Charles Sutton, Andrew McCallum, Dynamic Conditional Random Fields: Factorized Probabilistic Models for Labeling and Segmenting Sequence Data Journal of Machine Learning Research. ,vol. 8, pp. 693- 723 ,(2007)
Tie-yan Liu, Hang Li, De-sheng Wang, Tao Qin, Xu-dong Zhang, Global Ranking Using Continuous Conditional Random Fields neural information processing systems. ,vol. 21, pp. 1281- 1288 ,(2008)
Kosta Ristovski, Slobodan Vucetic, Zoran Obradovic, Vladan Radosavljevic, Continuous conditional random fields for efficient regression in large fully connected graphs national conference on artificial intelligence. pp. 840- 846 ,(2013)