Data Mining on the Web

EasyChair Preprint 2644

Abstract

Data Mining or knowledge discovery is a method of extracting interesting, non-trivial, implicit, previously unknown and potentially useful information or patterns of data from large databases. Data mining is a computer-assisted process of digging and analyzing enormous sets of data and then extracting the desired information or data. Data mining tools also predict behaviors and future trends, allowing businesses to make proactive, knowledge-driven decisions.

There are two types of data mining techniques; descriptive data mining that describes the general properties of the existing data, and predictive data mining that attempts to do predictions based on inferences on available data.

Keyphrases: Bounded Rectangle, Data Extraction using Partial Tree Alignment (DEPTA), Data Mining, Data Region, Hyper text markup language (html), Internet Explorer, Mining Data Records (MDR), Vision Based Page Segmentation (VIPS), Visual Structured based Analysis for Mining Web Pages (VSAP), data record

@booklet{EasyChair:2644,
  author    = {Sharanabasavaraj B. Patil and Vijay Kulkarni and S. Chandrashekhar and M. H. Sunil},
  title     = {Data Mining on the Web},
  howpublished = {EasyChair Preprint 2644},
  year      = {EasyChair, 2020}}