Titlebook: Web and Big Data; First International Lei Chen,Christian S. Jensen,Xiang Lian Conference proceedings 2017 Springer International Publishin

生手

書目名稱Web and Big Data影響因子(影響力)




書目名稱Web and Big Data影響因子(影響力)學(xué)科排名




書目名稱Web and Big Data網(wǎng)絡(luò)公開度




書目名稱Web and Big Data網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Web and Big Data被引頻次




書目名稱Web and Big Data被引頻次學(xué)科排名




書目名稱Web and Big Data年度引用




書目名稱Web and Big Data年度引用學(xué)科排名




書目名稱Web and Big Data讀者反饋




書目名稱Web and Big Data讀者反饋學(xué)科排名

GEON

是比賽

CLAN

Personalized POI Groups Recommendation in Location-Based Social Networksgree to each PPG covering the target users’ POI preferences. The system recommends the target user with the PPGs which have the top-N largest scores, and it is one NP-hard problem. This paper proposes the greedy algorithm to solve it. Extensive experiments on the two LBSN datasets illustrate the effectiveness of our proposed algorithm.

憤慨一下

Skyline-Based Recommendation Considering User Preferences are recommended and attribute values in a dense area are quantized into a single value. The result of the experiments suggest that the density-aware scoring provides equal to or greater accuracy than the basic scoring.

RADE

endarterectomy

Distributed Data Mining for Root Causes of KPI Faults in Wireless Networksinterpretation of the tree model. In order to solve the problem of memory and efficiency associated with large-scale data, we parallelize the algorithm and distribute the tasks to multiple computers. The experiments show that DRCA is an effective, efficient, and scalable method.

ADORN

Distributed Data Mining for Root Causes of KPI Faults in Wireless Networksinterpretation of the tree model. In order to solve the problem of memory and efficiency associated with large-scale data, we parallelize the algorithm and distribute the tasks to multiple computers. The experiments show that DRCA is an effective, efficient, and scalable method.

airborne

AMBI