Search the World's Largest Database of Information Science & Technology Terms & Definitions
InfInfoScipedia LogoScipedia
A Free Service of IGI Global Publishing House
Below please find a list of definitions for the term that
you selected from multiple scholarly research resources.

What is Data Mining (DM)

Handbook of Research on Discrete Event Simulation Environments: Technologies and Applications
Is the process of discovering interesting information from the hidden data that can either be used for future prediction and/or intelligently summarizing the details of the data (Mei, and Thole, 2008).
Published in Chapter:
An Integrated Data Mining and Simulation Solution
Mouhib Alnoukari (Arab Academy for Banking and Financial Sciences, Syria), Asim El Sheikh (Arab Academy for Banking and Financial Sciences, Jordan), and Zaidoun Alzoabi (Arab Academy for Banking and Financial Sciences, Syria)
DOI: 10.4018/978-1-60566-774-4.ch016
Abstract
Simulation and data mining can provide managers with decision support tools. However, the heart of data mining is knowledge discovery; as it enables skilled practitioners with the power to discover relevant objects and the relationships that exist between these objects, while simulation provides a vehicle to represent those objects and their relationships. In this chapter, the authors will propose an intelligent DSS framework based on data mining and simulation integration. The main output of this framework is the increase of knowledge. Two case studies will be presented, the first one on car market demand simulation. The simulation model was built using neural networks to get the first set of prediction results. Data mining methodology used named ANFIS (Adaptive Neuro-Fuzzy Inference System). The second case study will demonstrate how applying data mining and simulation in assuring quality in higher education
Full Text Chapter Download: US $37.50 Add to Cart
More Results
Customer Relationship Management and Knowledge Discovery in Database
The process of searching and analyzing data in order to find latent but potentially valuable information and to identify patterns and establish relationships from a huge database.
Full Text Chapter Download: US $37.50 Add to Cart
Data Mining in Proteomics Using Grid Computing
The process of knowledge discovery, consisting of applying data analysis and discovery algorithms that, under acceptable computational efficiency limitations, produce a particular enumeration of patterns over the data.
Full Text Chapter Download: US $37.50 Add to Cart
Text Mining
DM is the essential and arduous step in the process of knowledge discovery in databases with the goal of extracting high-level knowledge from low-level data.
Full Text Chapter Download: US $37.50 Add to Cart
Ideating a Recommender System for Business Growth Using Profit Pattern Mining and Uncertainty Theory
Full Text Chapter Download: US $37.50 Add to Cart
Intelligent Risk Detection for Healthcare
An IT technique to discover hidden knowledge or patters through historical data through even huge data bases.
Full Text Chapter Download: US $37.50 Add to Cart
Leveraging Key Aspects of Collaborative Techniques to Assist Clinical Decisions
An IT technique to discover hidden knowledge or patters through historical data through even huge data bases.
Full Text Chapter Download: US $37.50 Add to Cart
Full Text Chapter Download: US $37.50 Add to Cart
eContent Pro Discount Banner
InfoSci OnDemandECP Editorial ServicesAGOSR