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103
Voted
PAKDD
2015
ACM
9 years 11 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...
93
Voted
PAKDD
2015
ACM
9 years 11 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
96
Voted
PAKDD
2015
ACM
9 years 11 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...
106
Voted
PAKDD
2015
ACM
14views Data Mining» more  PAKDD 2015»
9 years 11 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,...
93
Voted
PAKDD
2015
ACM
11views Data Mining» more  PAKDD 2015»
9 years 11 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