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PAKDD
2015
ACM
8 years 6 months ago
Reliable Early Classification on Multivariate Time Series with Numerical and Categorical Attributes
Early classification on multivariate time series has recently emerged as a novel and important topic in data mining fields with wide applications such as early detection of disease...
Yu-Feng Lin, Hsuan-Hsu Chen, Vincent S. Tseng, Jia...
PAKDD
2015
ACM
8 years 6 months ago
Evaluation of Community Mining Algorithms in the Presence of Attributes
Grouping data points is one of the fundamental tasks in data mining, commonly known as clustering. In the case of interrelated data, when data is represented in the form of nodes a...
Reihaneh Rabbany, Osmar R. Zaïane
PAKDD
2015
ACM
8 years 6 months ago
A Learning-Rate Schedule for Stochastic Gradient Methods to Matrix Factorization
Abstract. Stochastic gradient methods are effective to solve matrix factorization problems. However, it is well known that the performance of stochastic gradient method highly dep...
Wei-Sheng Chin, Yong Zhuang, Yu-Chin Juan, Chih-Je...
PAKDD
2015
ACM
14views Data Mining» more  PAKDD 2015»
8 years 6 months ago
On Burst Detection and Prediction in Retweeting Sequence
Message propagation via retweet chain can be regarded as a social contagion process. In this paper, we examine burst patterns in retweet activities. A burst is a large number of re...
Zhilin Luo, Yue Wang 0009, Xintao Wu, Wandong Cai,...
PAKDD
2015
ACM
11views Data Mining» more  PAKDD 2015»
8 years 6 months ago
Latent Space Tracking from Heterogeneous Data with an Application for Anomaly Detection
Streaming heterogeneous information is ubiquitous in the era of Big Data, which provides versatile perspectives for more comprehensive understanding of behaviors of an underlying s...
Jiaji Huang, Xia Ning
PAKDD
2015
ACM
21views Data Mining» more  PAKDD 2015»
8 years 6 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
PAKDD
2015
ACM
8 years 6 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...
PAKDD
2015
ACM
12views Data Mining» more  PAKDD 2015»
8 years 6 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, ...
PAKDD
2015
ACM
10views Data Mining» more  PAKDD 2015»
8 years 6 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...
PAKDD
2015
ACM
24views Data Mining» more  PAKDD 2015»
8 years 6 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