Data Mining: Modeling, Algorithms, Applications and Systems

Jing Zhu Li; Qian Li; Tai Yu Liu; Wei Hong Niu

doi:10.4028/www.scientific.net/AMR.926-930.2786

Paper Titles

An Improvement of Slotted CSMA/Ca in IEEE 802.15.4
p.2767

Application of RBF Networks in Mercury Pollution Spatial Prediction of a Gold Mine Area
p.2771

Application of Symplectic Partitioned Runge-Kutta Method and Total-Field Scattered-Field Formulation to Simulation of GPR Data
p.2777

Characterizing and Modeling Microblog Traffic in Cellular Data Network Based on Massive Data Analysis
p.2781

Data Mining: Modeling, Algorithms, Applications and Systems
p.2786

Dynamic Task Allocation Based on Game Theory
p.2790

Research and Analysis of the Radio Network Channel Control Based on Router Discovery and Cross Layer Design
p.2795

Research of Multi-Data Integration Based on Lotus Domino
p.2799

Research on Common Virus Properties in Computer Lab
p.2803

HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 926-930Data Mining: Modeling, Algorithms, Applications...

Data Mining: Modeling, Algorithms, Applications and Systems

Abstract:

Data mining is a multidisciplinary field of the 20th century gradually, this paper based on data mining modeling, algorithms, applications and software tools were reviewed, the definition of data mining, the scope and characteristics of the data sets and data mining various practical situations; summarizes the data mining in the practical application of the basic steps and processes; data mining tasks in a variety of applications and modeling issues were discussed; cited the current field of data mining is mainly popular algorithms, and algorithm design issues to consider briefly analyzed; overview of the current data mining algorithm in a number of areas; more comprehensive description of the current performance and data mining software tools developer circumstances; Finally, the development of data mining prospects and direction prospected.