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» Learning Approaches to Wrapper Induction
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AAAI
1996
15 years 1 months ago
Sequential Inductive Learning
This article advocates a new model for inductive learning. Called sequential induction, it helps bridge classical fixed-sample learning techniques (which are efficient but difficu...
Jonathan Gratch
99
Voted
KDD
2004
ACM
151views Data Mining» more  KDD 2004»
16 years 3 days ago
Feature selection in scientific applications
Numerous applications of data mining to scientific data involve the induction of a classification model. In many cases, the collection of data is not performed with this task in m...
Erick Cantú-Paz, Shawn Newsam, Chandrika Ka...
IJCAI
2003
15 years 1 months ago
Information Extraction from Tree Documents by Learning Subtree Delimiters
Information extraction from HTML pages has been conventionally treated as plain text documents extended with HTML tags. However, the growing maturity and correct usage of HTML/XHT...
Boris Chidlovskii
VLDB
2007
ACM
115views Database» more  VLDB 2007»
15 years 12 months ago
Context-Aware Wrapping: Synchronized Data Extraction
The deep Web presents a pressing need for integrating large numbers of dynamically evolving data sources. To be more automatic yet accurate in building an integration system, we o...
Shui-Lung Chuang, Kevin Chen-Chuan Chang, ChengXia...
KDD
2007
ACM
193views Data Mining» more  KDD 2007»
16 years 3 days ago
Joint optimization of wrapper generation and template detection
Many websites have large collections of pages generated dynamically from an underlying structured source like a database. The data of a category are typically encoded into similar...
Shuyi Zheng, Ruihua Song, Ji-Rong Wen, Di Wu