Conceptual clustering in information retrieval

Many-Valued Concept Lattices for Conceptual Clustering and Information Retrieval

Using Supervised Clustering Technique to Classify Received Messages in 137 Call Center of Tehran City Council

Supervised clustering is a data mining technique that assigns a set of data to predefined classes by analyzing dataset attributes. It is considered as an important technique for information retrieval, management, and mining in information systems. Since customer satisfaction is the main goal of organizations in modern society, to meet the requirements, 137 call center of Tehran city council is ...

Conceptual Clustering with Iceberg Concept Lattices

We introduce the notion of iceberg concept lattices and show their use in Knowledge Discovery in Databases (KDD). Iceberg lattices are a conceptual clustering method, which is well suited for analyzing very large databases. They also serve as a condensed representation of frequent itemsets, as starting point for computing bases of association rules, and as a visualization method for association...

Using Supervised Clustering Technique to Classify Received Messages in 137 Call Center of Tehran City Council

Supervised clustering is a data mining technique that assigns a set of data to predefined classes by analyzing dataset attributes. It is considered as an important technique for information retrieval, management, and mining in information systems. Since customer satisfaction is the main goal of organizations in modern society, to meet the requirements, 137 call center of Tehran city council is ...

Emotions and information seeking: how does emotion manifest in infor-mation seeking behavior?

Background and Aim: Information seeking behavior arises when one feels a void in his/her knowledge which inspires one to acquire new information. The central point in explaining behavior is the fact that many features influence its occurrence, and emotions are considered to be a major element involved in human information behavior.  Also, Information seeking is a positive and negative emotional...

Conceptual Clustering of Text Clusters

Common clustering techniques have the disadvantage that they do not provide intensional descriptions of the clusters obtained. Conceptual Clustering techniques, on the other hand, provide such descriptions, but are known to be rather slow. In this paper, we discuss a way of combining both techniques. We rst cluster the documents by a variant of k{Means, using a thesaurus as background knowledge...