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» Incremental Mining of Sequential Patterns in Large Databases
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WWW
2009
ACM
14 years 8 months ago
Smart Miner: a new framework for mining large scale web usage data
In this paper, we propose a novel framework called SmartMiner for web usage mining problem which uses link information for producing accurate user sessions and frequent navigation...
Murat Ali Bayir, Ismail Hakki Toroslu, Ahmet Cosar...
KDD
2005
ACM
153views Data Mining» more  KDD 2005»
14 years 8 months ago
Improving discriminative sequential learning with rare--but--important associations
Discriminative sequential learning models like Conditional Random Fields (CRFs) have achieved significant success in several areas such as natural language processing, information...
Xuan Hieu Phan, Minh Le Nguyen, Tu Bao Ho, Susumu ...
ICDE
2005
IEEE
144views Database» more  ICDE 2005»
14 years 9 months ago
ViteX: A Streaming XPath Processing System
We present ViteX, an XPath processing system on XML streams with polynomial time complexity. ViteX uses a polynomial-space data structure to encode an exponential number of patter...
Yi Chen, Susan B. Davidson, Yifeng Zheng
INCDM
2010
Springer
486views Data Mining» more  INCDM 2010»
13 years 9 months ago
Finding Temporal Patterns in Noisy Longitudinal Data: A Study in Diabetic Retinopathy
This paper describes an approach to temporal pattern mining using the concept of user de ned temporal prototypes to de ne the nature of the trends of interests. The temporal patt...
Vassiliki Somaraki, Deborah Broadbent, Frans Coene...
ECOOP
2009
Springer
14 years 8 months ago
MAPO: Mining and Recommending API Usage Patterns
To improve software productivity, when constructing new software systems, programmers often reuse existing libraries or frameworks by invoking methods provided in their APIs. Those...
Hao Zhong, Tao Xie, Lu Zhang, Jian Pei, Hong Mei