Sciweavers

108 search results - page 8 / 22
» Ontologies Improve Text Document Clustering
Sort
View
ICDM
2002
IEEE
191views Data Mining» more  ICDM 2002»
14 years 17 days ago
Iterative Clustering of High Dimensional Text Data Augmented by Local Search
The k-means algorithm with cosine similarity, also known as the spherical k-means algorithm, is a popular method for clustering document collections. However, spherical k-means ca...
Inderjit S. Dhillon, Yuqiang Guan, J. Kogan
KDD
2002
ACM
147views Data Mining» more  KDD 2002»
14 years 8 months ago
A parallel learning algorithm for text classification
Text classification is the process of classifying documents into predefined categories based on their content. Existing supervised learning algorithms to automatically classify te...
Canasai Kruengkrai, Chuleerat Jaruskulchai
IAT
2008
IEEE
14 years 2 months ago
An Ontology-Based Approach to Text Summarization
Extractive text summarization aims to create a condensed version of one or more source documents by selecting the most informative sentences. Research in text summarization has th...
Leonhard Hennig, Winfried Umbrath, Robert Wetzker
PAKDD
2009
ACM
127views Data Mining» more  PAKDD 2009»
14 years 2 months ago
Clustering Documents Using a Wikipedia-Based Concept Representation
Abstract. This paper shows how Wikipedia and the semantic knowledge it contains can be exploited for document clustering. We first create a concept-based document representation b...
Anna Huang, David N. Milne, Eibe Frank, Ian H. Wit...
BMCBI
2005
122views more  BMCBI 2005»
13 years 7 months ago
Finding genomic ontology terms in text using evidence content
Background: The development of text mining systems that annotate biological entities with their properties using scientific literature is an important recent research topic. These...
Francisco M. Couto, Mário J. Silva, Pedro C...