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» Data Mining in the Real World: Experiences, Challenges, and ...
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ICDM
2003
IEEE
154views Data Mining» more  ICDM 2003»
14 years 4 hour ago
MaPle: A Fast Algorithm for Maximal Pattern-based Clustering
Pattern-based clustering is important in many applications, such as DNA micro-array data analysis, automatic recommendation systems and target marketing systems. However, pattern-...
Jian Pei, Xiaoling Zhang, Moonjung Cho, Haixun Wan...
CVPR
2009
IEEE
15 years 1 months ago
Tour the World: building a web-scale landmark recognition engine
Modeling and recognizing landmarks at world-scale is a useful yet challenging task. There exists no readily available list of worldwide landmarks. Obtaining reliable visual mode...
Yantao Zheng, Ming Zhao 0003, Yang Song, Hartwig A...
SDM
2009
SIAM
129views Data Mining» more  SDM 2009»
14 years 3 months ago
Scalable Distributed Change Detection from Astronomy Data Streams Using Local, Asynchronous Eigen Monitoring Algorithms.
This paper considers the problem of change detection using local distributed eigen monitoring algorithms for next generation of astronomy petascale data pipelines such as the Larg...
Kamalika Das, Kanishka Bhaduri, Sugandha Arora, We...
WAIM
2010
Springer
13 years 4 months ago
An Efficient Approach for Mining Segment-Wise Intervention Rules in Time-Series Streams
Huge time-series stream data are collected every day from many areas, and their trends may be impacted by outside events, hence biased from its normal behavior. This phenomenon is ...
Yue Wang, Jie Zuo, Ning Yang, Lei Duan, Hong-Jun L...
KDD
2012
ACM
235views Data Mining» more  KDD 2012»
11 years 9 months ago
A near-linear time approximation algorithm for angle-based outlier detection in high-dimensional data
Outlier mining in d-dimensional point sets is a fundamental and well studied data mining task due to its variety of applications. Most such applications arise in high-dimensional ...
Ninh Pham, Rasmus Pagh