Data Mining Algorithm and its Application with Massive Text Database

Chun Ping Wang

doi:10.4028/www.scientific.net/AMM.742.395

Paper Titles

The Temperature and Pressure Information Fusion Based on BP Network
p.372

Yarn Quality Prediction and Process Parameters Optimization Based on Genetic Algorithm and Neural Network
p.377

An Optimization Model Based on Principal Component Theory and Genetic Algorithm
p.384

Application of Fuzzy Mathematics Model in Evaluating Order Priority
p.390

Data Mining Algorithm and its Application with Massive Text Database
p.395

Exponential Stability for Stochastic Neural Networks with Time-Varying Delay and Leakage Delay
p.399

Simulation of Traffic Flow in Hurricane Emergency Evacuation Use Dynamic Control Strategy
p.404

A Time Series Analysis and Neural Network Based Scheme for Fault Diagnosis of Transformers
p.412

The Proof of Strong Markov Property Based on one Definition
p.419

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 742Data Mining Algorithm and its Application with...

Data Mining Algorithm and its Application with Massive Text Database

Abstract:

Features of large text data mining methods method is avoided semantic analysis from the lexical, syntactic, but by means of statistical analysis and processing large text data, thus maximizing literally ignored similar semantic differences, adapt to network language characteristics. The results of our paper show that data mining algorithms may extract the information in this article can portray the characteristics of vocabulary specific user characteristics and make recommendations based on the characteristics of the user vocabulary.