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» Extracting Web Data Using Instance-Based Learning
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ICDM
2006
IEEE
137views Data Mining» more  ICDM 2006»
14 years 4 months ago
Mining Complex Time-Series Data by Learning Markovian Models
In this paper, we propose a novel and general approach for time-series data mining. As an alternative to traditional ways of designing specific algorithm to mine certain kind of ...
Yi Wang, Lizhu Zhou, Jianhua Feng, Jianyong Wang, ...
SIGCSE
2002
ACM
149views Education» more  SIGCSE 2002»
13 years 9 months ago
A comprehensive project for CS2: combining key data structures and algorithms into an integrated web browser and search engine
We present our experience using a large, real-world application as a course project for the second half of the semester of a CS2 course. Our primary goal for the project was to cr...
Tia Newhall, Lisa Meeden
WEBDB
2010
Springer
155views Database» more  WEBDB 2010»
14 years 3 months ago
Learning Topical Transition Probabilities in Click Through Data with Regression Models
The transition of search engine users’ intents has been studied for a long time. The knowledge of intent transition, once discovered, can yield a better understanding of how di...
Xiao Zhang, Prasenjit Mitra
CVPR
2010
IEEE
14 years 3 months ago
YouTubeCat: Learning to Categorize Wild Web Videos
Automatic categorization of videos in a Web-scale unconstrained collection such as YouTube is a challenging task. A key issue is how to build an effective training set in the pres...
Zheshen Wang, Ming Zhao, Yang Song, Sanjiv Kumar, ...
ACL
2011
13 years 1 months ago
Template-Based Information Extraction without the Templates
Standard algorithms for template-based information extraction (IE) require predefined template schemas, and often labeled data, to learn to extract their slot fillers (e.g., an ...
Nathanael Chambers, Dan Jurafsky