Web Data Mining On Xml Documents
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XML Data Mining: Models, Methods, and Applications
Author | : Tagarelli, Andrea |
Publisher | : IGI Global |
Total Pages | : 538 |
Release | : 2011-11-30 |
Genre | : Computers |
ISBN | : 1613503571 |
The widespread use of XML in business and scientific databases has prompted the development of methodologies, techniques, and systems for effectively managing and analyzing XML data. This has increasingly attracted the attention of different research communities, including database, information retrieval, pattern recognition, and machine learning, from which several proposals have been offered to address problems in XML data management and knowledge discovery. XML Data Mining: Models, Methods, and Applications aims to collect knowledge from experts of database, information retrieval, machine learning, and knowledge management communities in developing models, methods, and systems for XML data mining. This book addresses key issues and challenges in XML data mining, offering insights into the various existing solutions and best practices for modeling, processing, analyzing XML data, and for evaluating performance of XML data mining algorithms and systems.
Data Management. Data, Data Everywhere
Author | : Richard Cooper |
Publisher | : Springer |
Total Pages | : 272 |
Release | : 2007-08-19 |
Genre | : Computers |
ISBN | : 3540733906 |
This book features the refereed proceedings from the 24th British National Conference on Databases, held in Glasgow, Scotland in July 2007. The eighteen full papers and seven poster papers are presented, together with two invited contributions. Papers are organized into topical sections covering data applications, searching XML documents, querying XML documents, XML transformation, clustering and security, data mining, and extraction.
XML Databases and the Semantic Web
Author | : Bhavani Thuraisingham |
Publisher | : CRC Press |
Total Pages | : 335 |
Release | : 2002-03-27 |
Genre | : Computers |
ISBN | : 1420000020 |
Efficient access to data, sharing data, extracting information from data, and making use of the information have become urgent needs for today's corporations. With so much data on the Web, managing it with conventional tools is becoming almost impossible. New tools and techniques are necessary to provide interoperability as well as warehousing betw
Web Data Mining and Applications in Business Intelligence and Counter-Terrorism
Author | : Bhavani Thuraisingham |
Publisher | : CRC Press |
Total Pages | : 542 |
Release | : 2003-06-26 |
Genre | : Business & Economics |
ISBN | : 0203499514 |
The explosion of Web-based data has created a demand among executives and technologists for methods to identify, gather, analyze, and utilize data that may be of value to corporations and organizations. The emergence of data mining, and the larger field of Web mining, has businesses lost within a confusing maze of mechanisms and strategies for obta
Knowledge Discovery from XML Documents
Author | : Richi Nayak |
Publisher | : Springer Science & Business Media |
Total Pages | : 113 |
Release | : 2006-03-23 |
Genre | : Computers |
ISBN | : 3540331808 |
This book constitutes the refereed proceedings of the First International Workshop on Knowledge Discovery from XML Documents, KDXD 2006, held in Singapore in conjunction with the 10th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2006). The ten revised full papers presented together with two invited talks were carefully reviewed and selected from 26 submissions. The papers are organized in topical sections.
Automated Data Collection with R
Author | : Simon Munzert |
Publisher | : John Wiley & Sons |
Total Pages | : 474 |
Release | : 2015-01-20 |
Genre | : Computers |
ISBN | : 111883481X |
A hands on guide to web scraping and text mining for both beginners and experienced users of R Introduces fundamental concepts of the main architecture of the web and databases and covers HTTP, HTML, XML, JSON, SQL. Provides basic techniques to query web documents and data sets (XPath and regular expressions). An extensive set of exercises are presented to guide the reader through each technique. Explores both supervised and unsupervised techniques as well as advanced techniques such as data scraping and text management. Case studies are featured throughout along with examples for each technique presented. R code and solutions to exercises featured in the book are provided on a supporting website.
Web Data Mining and the Development of Knowledge-Based Decision Support Systems
Author | : Sreedhar, G. |
Publisher | : IGI Global |
Total Pages | : 427 |
Release | : 2016-12-21 |
Genre | : Computers |
ISBN | : 1522518789 |
Websites are a central part of today’s business world; however, with the vast amount of information that constantly changes and the frequency of required updates, this can come at a high cost to modern businesses. Web Data Mining and the Development of Knowledge-Based Decision Support Systems is a key reference source on decision support systems in view of end user accessibility and identifies methods for extraction and analysis of useful information from web documents. Featuring extensive coverage across a range of relevant perspectives and topics, such as semantic web, machine learning, and expert systems, this book is ideally designed for web developers, internet users, online application developers, researchers, and faculty.
Information Computing and Applications, Part II
Author | : Rongbo Zhu |
Publisher | : Springer Science & Business Media |
Total Pages | : 556 |
Release | : 2010-09-27 |
Genre | : Computers |
ISBN | : 3642163386 |
This volume contains the proceedings of the International Conference on Inf- mation Computing and Applications (ICICA 2010), which was held in Tangshan, China, October 15-18, 2010. As future-generation information technology, information computing and applications become specialized, information computing and applications - cluding hardware, software, communications and networks are growing with ever-increasing scale and heterogeneity and becoming overly complex. The c- plexity is getting more critical along with the growing applications. To cope with the growing and computing complexity, information computing and applications focus on intelligent, selfmanageable, scalable computing systems and applications to the maximum extent possible without human intervention or guidance. With the rapid development of information science and technology, infor- tion computing has become the third approach of science research. Information computing and applications is the ?eld of study concerned with constructing - telligent computing, mathematical models, numerical solution techniques and using computers to analyze and solve natural scienti?c, social scienti?c and engineering problems. In practical use, it is typically the application of c- puter simulation, intelligent computing, internet computing, pervasive comp- ing, scalable computing, trusted computing, autonomy-oriented computing, evolutionary computing, mobile computing, computational statistics, engine- ing computing, multimedia networking and computing, applications and other forms of computation problems in various scienti?c disciplines and engine- ing. Information computing and applications is an important underpinning for techniques used in information and computational science and there are many unresolved problems that address worth studying.