EDGAR-analyzer: automating the analysis of corporate data contained in the SEC's EDGAR database
Publicly owned companies, their officers and major investors are required to file regular disclosures with the Securities and Exchange Commission (SEC). To improve accessibility to these public documents, the SEC began developed the EDGAR (Electronic ...
Enhancing the power of Web search engines by means of fuzzy query
Commercial Web search engines such as Yahoo!, Google, etc., have been defined which manage information only in a crisp way (i.e., keyword-based). Their query languages do not allow the expression of preferences or vagueness. They generally return many ...
Feature selection on hierarchy of web documents
The paper describes feature subset selection used in learning on text data (text learning) and gives a brief overview of feature subset selection commonly used in machine learning. Several known and some new feature scoring measures appropriate for ...
Visualization of large category map for internet browsing
Information overload is a critical problem in World Wide Web. Category map developed based on Kohonen's self-organizing map (SOM) has been proven to be a promising browsing tool for the Web. The SOM algorithm automatically categorizes a large Internet ...
Integrating web-based data mining tools with business models for knowledge management
As firms begin to implement web-based presentation and data mining tools to enhance decision support capability, the firm's knowledge workers must determine how to most effectively use these new web-based tools to deliver competitive advantage. The ...
Enriching web taxonomies through subject categorization of query terms from search engine logs
In this paper, we propose a query-categorization approach to facilitating the engineering process of constructing Web taxonomies. One primary step in taxonomy construction is to acquire the domain-specific terminology terms and the mapping between the ...
Automatic information extraction from semi-structured Web pages by pattern discovery
The World Wide Web is now undeniably the richest and most dense source of information; yet, its structure makes it difficult to make use of that information in a systematic way. This paper proposes a pattern discovery approach to the rapid generation of ...
Automatic discovery of similarity relationships through Web mining
This work demonstrates how the World Wide Web can be mined in a fully automated manner for discovering the semantic similarity relationships among the concepts surfaced during an electronic brainstorming session, and thus improving the accuracy of ...
Design and evaluation of a multi-agent collaborative Web mining system
Most existing Web search tools work only with individual users and do not help a user benefit from previous search experiences of others. In this paper, we present the Collaborative Spider, a multi-agent system designed to provide post-retrieval ...
