Andere Kunden interessierten sich auch für
![Advances in Knowledge Discovery and Management]( "Advances in Knowledge Discovery and Management")
Advances in Knowledge Discovery and Management110,99 €![Interactive Knowledge Discovery and Data Mining in Biomedical Informatics]( "Interactive Knowledge Discovery and Data Mining in Biomedical Informatics")
Interactive Knowledge Discovery and Data Mining in Biomedical Informatics37,99 €![Data Mining and Knowledge Discovery for Process Monitoring and Control]( "Data Mining and Knowledge Discovery for Process Monitoring and Control")
Data Mining and Knowledge Discovery for Process Monitoring and Control74,99 €![Advances in Knowledge Discovery and Data Mining]( "Advances in Knowledge Discovery and Data Mining")
Advances in Knowledge Discovery and Data Mining75,99 €![Data Warehousing and Knowledge Discovery]( "Data Warehousing and Knowledge Discovery")
Data Warehousing and Knowledge Discovery37,99 €![Machine Learning and Knowledge Discovery in Databases]( "Machine Learning and Knowledge Discovery in Databases")
Machine Learning and Knowledge Discovery in Databases38,99 €![Discovery and Selection of Semantic Web Services]( "Discovery and Selection of Semantic Web Services")
Discovery and Selection of Semantic Web Services74,99 €
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.
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.
From the reviews:
"This book collects and collates the latest developments in data mining and knowledge discovery for big data ... . This book is primarily for practicing professionals and researchers. It explains state-of-the-art methodologies, techniques, and developments in many fields of data mining. The compilation of the latest developments from diverse fields into one volume gives professionals an opportunity to learn what is happening in other fields and gain insights and knowledge that can be used in their own fields." (Alexis Leon, Computing Reviews, February, 2014)
"This book collects and collates the latest developments in data mining and knowledge discovery for big data ... . This book is primarily for practicing professionals and researchers. It explains state-of-the-art methodologies, techniques, and developments in many fields of data mining. The compilation of the latest developments from diverse fields into one volume gives professionals an opportunity to learn what is happening in other fields and gain insights and knowledge that can be used in their own fields." (Alexis Leon, Computing Reviews, February, 2014)