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SIGECOM
2008
ACM
188views ECommerce» more  SIGECOM 2008»
13 years 9 months ago
Predicting trusts among users of online communities: an epinions case study
Trust between a pair of users is an important piece of information for users in an online community (such as electronic commerce websites and product review websites) where users ...
Haifeng Liu, Ee-Peng Lim, Hady Wirawan Lauw, Minh-...
ICDE
2009
IEEE
156views Database» more  ICDE 2009»
14 years 11 months ago
Online Anomaly Prediction for Robust Cluster Systems
In this paper, we present a stream-based mining algorithm for online anomaly prediction. Many real-world applications such as data stream analysis requires continuous cluster opera...
Xiaohui Gu, Haixun Wang
ACISICIS
2009
IEEE
14 years 20 days ago
Temporal Pattern Recognition in Video Clips Detection
Temporal representation and reasoning plays an important role in Data Mining and Knowledge Discovery, particularly, in mining and recognizing patterns with rich temporal informati...
Aihua Zheng, Jixin Ma, Bin Luo, Miltos Petridis, S...
KDD
2007
ACM
178views Data Mining» more  KDD 2007»
14 years 9 months ago
Density-based clustering for real-time stream data
Existing data-stream clustering algorithms such as CluStream are based on k-means. These clustering algorithms are incompetent to find clusters of arbitrary shapes and cannot hand...
Yixin Chen, Li Tu
LWA
2008
13 years 10 months ago
Towards Burst Detection for Non-Stationary Stream Data
Detecting bursts in data streams is an important and challenging task, especially in stock market, traffic control or sensor network streams. Burst detection means the identificat...
Daniel Klan, Marcel Karnstedt, Christian Pöli...