Attribute subset selection reduces the data set size by removing irrelevant or redundant attributes (or dimensions). The objective of attribute subset selection is to discover a minimum set of attributes such that the subsequent probability distribution of the data classes is as close as feasible to the original distribution obtained ... Read More

Trend analysis defines the techniques for extracting a model of behavior in a time series that can be slightly or entirely hidden by noise. The methods of trend analysis have been generally used in detecting outbreaks and unexpected increases or decreases in disease appearances, monitoring the trends of diseases, evaluating ... Read More

Temporal data mining defines the process of extraction of non-trivial, implicit, and potentially essential data from large sets of temporal data. Temporal data are a series of primary data types, generally numerical values, and it deals with gathering beneficial knowledge from temporal data.The objective of temporal data mining is to ... Read More

Cluster analysis is a branch of statistics that has been studied widely for several years. The benefit of using this technique is that interesting structures or clusters can be discovered directly from the data without utilizing any background knowledge, such as concept hierarchy.Clustering algorithms used in statistics, like PAM or ... Read More

Spatial data mining is the application of data mining to spatial models. In spatial data mining, analysts use geographical or spatial data to make business intelligence or different results. This needed specific methods and resources to get the geographical data into relevant and beneficial formats.There are several challenges involved in ... Read More

Web mining defines the process of using data mining techniques to extract beneficial patterns trends and data generally with the help of the web by dealing with it from web-based records and services, server logs, and hyperlinks. Web mining aims to discover the designs in web information by grouping and ... Read More

PageRank is a method for rating Web pages objectively and mechanically, paying attention to human interest. Web search engines have to organize with inexperienced clients and pages manipulating conventional ranking services. Some evaluation methods which count replicable natures of Web pages are unimmunized to manipulation.The task is to take advantage ... Read More

Web content mining is referred to as text mining. Content mining is the browsing and mining of text, images, and graphs of a Web page to decide the relevance of the content to the search query.This browsing is done after the clustering of web pages through structure mining and supports ... Read More

Web structure mining is a tool that can recognize the relationship between web pages linked by data or direct link connection. This structured data is discoverable by the provision of web structure schema through database techniques for Web pages.This connection enables a search engine to pull data associated with a ... Read More

Web mining defines the process of using data mining techniques to extract beneficial patterns trends and data generally with the help of the web by dealing with it from web-based records and services, server logs, and hyperlinks. The objective of web mining is to find the designs in web records ... Read More