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100
Voted
PAKDD
2015
ACM
21views Data Mining» more  PAKDD 2015»
9 years 11 months ago
Mining High Utility Itemsets in Big Data
In recent years, extensive studies have been conducted on high utility itemsets (HUI) mining with wide applications. However, most of them assume that data are stored in centralize...
Ying Chun Lin, Cheng-Wei Wu, Vincent S. Tseng
80
Voted
PAKDD
2015
ACM
9 years 11 months ago
Web Site Audience Segmentation Using Hybrid Alignment Techniques
We are working on behavioral marketing in the Internet. On one hand we observe the behavior of visitors, and on the other hand we trigger (in real-time) stimulations intended to al...
Vinh-Trung Luu, Germain Forestier, Fréd&eac...
91
Voted
PAKDD
2015
ACM
12views Data Mining» more  PAKDD 2015»
9 years 11 months ago
Activity-Partner Recommendation
Abstract. In many activities, such as watching movies or having dinner, people prefer to find partners before participation. Therefore, when recommending activity items (e.g., mov...
Wenting Tu, David Wai-Lok Cheung, Nikos Mamoulis, ...
91
Voted
PAKDD
2015
ACM
10views Data Mining» more  PAKDD 2015»
9 years 11 months ago
Mining Association Rules in Graphs Based on Frequent Cohesive Itemsets
Searching for patterns in graphs is an active field of data mining. In this context, most work has gone into discovering subgraph patterns, where the task is to find strictly de...
Tayena Hendrickx, Boris Cule, Pieter Meysman, Stef...
92
Voted
PAKDD
2015
ACM
24views Data Mining» more  PAKDD 2015»
9 years 11 months ago
Analyzing User Behaviors Based on Temporal Patterns of Sequential Pattern Evaluation Indices on Twitter
With social media sites, such as Twitter, providing a visual record of the daily interests and concerns of users in the form of tweets and tweeting behaviors, there is growing dema...
Hidenao Abe