The effectiveness and efficiency of an Information Retrieval (IR) system depends on the quality of its indexing system. Indexing con be used in inverted file systemsor in cluster-based retrieval. In this article, new concept called tunable indexing is introduced. With tunable indexing the number of clusters of a document clustering system can be varied to any desired value. Also covered are the computation of Term Discriminarion Value(TDV) with the cover coefficienr (CC) concepts and its use in tunable indexing. A set of experiments has slown the consistency between the CC based TDYs and the TDYs determined with the known methods. The main use of turnable indexing has been observed in determining the parameters of a clustering system
New documents are created every day and the number of digital documents in the world is exponentiall...
Our research shows that for large databases, without considerable additional storage overhead, clust...
Our research shows that for large databases, without considerable additional storage overhead, clust...
The effectiveness and efficiency of an Information Retrieval (IRJ system depends on the quality of i...
An algorithm for document clustering is introduced. The base concept of the algorithm, Cover Coeffic...
Indexing is one of the important tasks of Information Retrieval that can be applied to any form of d...
Information retrieval is the process of recalling and ordering all relevant documents based on a use...
Information retrieval is the process of recalling and ordering all relevant documents based on a use...
Information retrieval is the process of recalling and ordering all relevant documents based on a use...
Clustering of very large document databases is essential to reduce the spacehime complexity of infor...
Cataloged from PDF version of article.Our research shows that for large databases, without considera...
Ranking is the central problem for information retrieval (IR), and employing machine learning techni...
We present cluster-based retrieval (CBR) experiments on the largest available Turkish document colle...
We propose a unique cluster-based retrieval (CBR) strategy using a new cluster-skipping inverted fil...
Given a written text in natural language, it is convenient to represent the information content of t...
New documents are created every day and the number of digital documents in the world is exponentiall...
Our research shows that for large databases, without considerable additional storage overhead, clust...
Our research shows that for large databases, without considerable additional storage overhead, clust...
The effectiveness and efficiency of an Information Retrieval (IRJ system depends on the quality of i...
An algorithm for document clustering is introduced. The base concept of the algorithm, Cover Coeffic...
Indexing is one of the important tasks of Information Retrieval that can be applied to any form of d...
Information retrieval is the process of recalling and ordering all relevant documents based on a use...
Information retrieval is the process of recalling and ordering all relevant documents based on a use...
Information retrieval is the process of recalling and ordering all relevant documents based on a use...
Clustering of very large document databases is essential to reduce the spacehime complexity of infor...
Cataloged from PDF version of article.Our research shows that for large databases, without considera...
Ranking is the central problem for information retrieval (IR), and employing machine learning techni...
We present cluster-based retrieval (CBR) experiments on the largest available Turkish document colle...
We propose a unique cluster-based retrieval (CBR) strategy using a new cluster-skipping inverted fil...
Given a written text in natural language, it is convenient to represent the information content of t...
New documents are created every day and the number of digital documents in the world is exponentiall...
Our research shows that for large databases, without considerable additional storage overhead, clust...
Our research shows that for large databases, without considerable additional storage overhead, clust...