Data Mining and Knowledge Discovery for Big Data

相似文件 换一批

是 否 +2 论坛币

k人 参与回答

经管之家送您一份

应届毕业生专属福利!

求职就业群

赵安豆老师微信：zhaoandou666

经管之家联合CDA

送您一个全额奖学金名额~ !

立即领取

感谢您参与论坛问题回答

经管之家送您两个论坛币！

+2 论坛币

Data Mining and Knowledge Discovery for Big Data: Methodologies, Challenge and Opportunities (Studies in Big Data)

The field of data mining has made significant and far-reaching advances over the past three decades. Because of its potential power for solving complex problems, data mining has been successfully applied to diverse areas such as business, engineering, social media, and biological science. Many of these applications search for patterns in complex structural information. In biomedicine for example, modeling complex biological systems requires linking knowledge across many levels of science, from genes to disease. Further, the data characteristics of the problems have also grown from static to dynamic and spatiotemporal, complete to incomplete, and centralized to distributed, and grow in their scope and size (this is known as big data). The effective integration of big data for decision-making also requires privacy preservation.

The contributions to this monograph summarize the advances of data mining in the respective fields. This volume consists of nine chapters that address subjects ranging from mining data from opinion, spatiotemporal databases, discriminative subgraph patterns, path knowledge discovery, social media, and privacy issues to the subject of computation reduction via binary matrix factorization.

Table of Contents
Chapter 1 Aspect and Entity Extraction for Opinion Mining
Chapter 2 Mining Periodicity from Dynamic and Incomplete Spatiotemporal Data
Chapter 3 Spatio-temporal Data Mining for Climate Data: Advances, Challenges, and Opportunities
Chapter 4 Mining Discriminative Subgraph Patterns from Structural Data
Chapter 5 Path Knowledge Discovery: Multilevel Text Mining as a Methodology for Phenomics
Chapter 6 InfoSearch: A Social Search Engine
Chapter 7 Social Media in Disaster Relief Usage Patterns, Data Mining Tools, and Current Research Directions
Chapter 8 A Generalized Approach for Social Network Integration and Analysis with Privacy Preservation
Chapter 9 A Clustering Approach to Constrained Binary Matrix Factorization

Book Details
Title: Data Mining and Knowledge Discovery for Big Data
Author: Wesley W. Chu
Length: 350 pages
Edition: 2014
Language: English
Publisher: Springer
Publication Date: 2013-11-15
ISBN-10: 3642408362
ISBN-13: 9783642408366

本帖隐藏的内容

Data.Mining.and.Knowledge.Discovery.for.Big.Data.pdf (8.79 MB, 需要: 1 个论坛币)

2013-10-12 09:03:11 上传

1金币
需要: 1 个论坛币  [购买]

扫码加我 拉你入群

请注明：姓名-公司-职位

以便审核进群资格，未注明则拒绝

分享0 收藏6 回帖

关键词：Data Mining Discovery knowledge Discover Big data potential business problems Because complex

看看书的质量如何

支持一下

Data Mining and Knowledge Discovery for Big Data

11111111111111111111111

不错，看下，谢谢

shouxia kankan

支持一下

see see