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PAKDD
2015
ACM
5 years 7 days 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...
PAKDD
2015
ACM
12views Data Mining» more  PAKDD 2015»
5 years 7 days 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, ...
PAKDD
2015
ACM
10views Data Mining» more  PAKDD 2015»
5 years 7 days 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...
PAKDD
2015
ACM
24views Data Mining» more  PAKDD 2015»
5 years 7 days 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
PAKDD
2015
ACM
24views Data Mining» more  PAKDD 2015»
5 years 7 days ago
Coupled Matrix Factorization Within Non-IID Context
Recommender systems research has experienced different stages such as from user preference understanding to content analysis. Typical recommendation algorithms were built on the fo...
Fangfang Li, Guandong Xu, Longbing Cao
PAKDD
2015
ACM
28views Data Mining» more  PAKDD 2015»
5 years 7 days ago
A Study of Interestingness Measures for Associative Classification on Imbalanced Data
Associative Classification (AC) is a well known tool in knowledge discovery and it has been proved to extract competitive classifiers. However, imbalanced data has posed a challeng...
Guangfei Yang, Xuejiao Cui
PAKDD
2015
ACM
50views Data Mining» more  PAKDD 2015»
5 years 7 days ago
Mining Massive-Scale Spatiotemporal Trajectories in Parallel: A Survey
With the popularization of positioning devices such as GPS navigators and smart phones, large volumes of spatiotemporal trajectory data have been produced at unprecedented speed. F...
Pengtao Huang, Bo Yuan
PAKDD
2015
ACM
28views Data Mining» more  PAKDD 2015»
5 years 7 days ago
Predicting Smartphone Adoption in Social Networks
The recent advancements in online social networks and mobile devices have provided valuable data sources to track users’ smartphone adoption, i.e., the usage of smartphones over ...
Le Wu, Yin Zhu, Nicholas Jing Yuan, Enhong Chen, X...
PAKDD
2015
ACM
10views Data Mining» more  PAKDD 2015»
5 years 7 days ago
CPT+: Decreasing the Time/Space Complexity of the Compact Prediction Tree
Abstract. Predicting next items of sequences of symbols has many applications in a wide range of domains. Several sequence prediction models have been proposed such as DG, All-k-or...
Ted Gueniche, Philippe Fournier-Viger, Rajeev Rama...
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