Aranea is a question answering system that extracts answers from the World Wide Web using knowledge annotation and knowledge mining techniques. Knowledge annotation, which utilizes semistructured database techniques, is effective for answering large classes of commonly occurring questions. Knowledge mining, which utilizes statistical techniques, can leverage the massive amounts of data availabl...

The current explosion of data and information, which are mainly caused by the continuous adoption of data warehouses and the extensive use of the Internet and its related technologies, has increased the urgent need for the development of techniques for intelligent data analysis. Data mining, which concerns the discovery and extraction of knowledge chunks from large data repositories, addresses ...

Introduction Geographic data mining can be defined as a set of exploratory computational and statistical approaches for analyzing very large spatial and spatiotemporal data sets. Data mining techniques are often grouped into categories that include clustering, categorization, summarization, rule-mining, and feature extraction. All of these types of techniques are generally oriented towards iden...

This document reviews the main applications of statistics and operations research techniques to the quantitative aspects of Knowledge Discovery and Data Mining, fulfilling a pressing need. Data Mining, one of the most important phases of the Knowledge Discovery in Databases activity, is becoming ubiquitous with the current information explosion. As a result, there is an increasing need for trai...

Crisis management is an increasingly important activity of management. Organizations’ critical crises can induce severe consequences or even disasters if wrong decisions are made. The World Wide Web provides an unprecedented freedom for the public to discuss one’s opinions which impact much on the progress of the crisis. Based on the study of web mining and its relative techniques, a combined w...

In recent years, data mining is a popular analysis tool to extract knowledge from collection of large amount of data. One of the great challenges of data mining is finding hidden patterns without revealing sensitive information. Privacy preservation data mining (PPDM) is answer to such challenges. It is a major research area for protecting sensitive data or knowledge while data mining technique...

Knowledge discovery in databases, also known as data mining, is the efficient discovery of previously unknown, valid, novel, potentially useful, and understandable patterns in large databases. It encompasses many different techniques and algorithms which differ in the kinds of data that can be analyzed and the form of knowledge representation used to convey the discovered knowledge. An importan...

In the current world, sports produce considerable statistical information about each player, team, games, and seasons. Traditional sports science believed science to be owned by experts, coaches, team managers, and analyzers. However, sports organizations have recently realized the abundant science available in their data and sought to take advantage of that science through the use of data mini...

OBJECTIVES With the exponential increase in the number of articles published every year in the biomedical domain, there is a need to build automated systems to extract unknown information from the articles published. Text mining techniques enable the extraction of unknown knowledge from unstructured documents. METHODS This paper reviews text mining processes in detail and the software tools a...