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Measurement and Multivariate Analysis
  • Language: en
  • Pages: 347

Measurement and Multivariate Analysis

Diversity is characteristic of the information age and also of statistics. To date, the social sciences have contributed greatly to the development of handling data under the rubric of measurement, while the statistical sciences have made phenomenal advances in theory and algorithms. Measurement and Multivariate Analysis promotes an effective interplay between those two realms of research-diversity with unity. The union and the intersection of those two areas of interest are reflected in the papers in this book, drawn from an international conference in Banff, Canada, with participants from 15 countries. In five major categories - scaling, structural analysis, statistical inference, algorithms, and data analysis - readers will find a rich variety of topics of current interest in the extended statistical community.

Large-Scale Pattern-Based Information Extraction from the World Wide Web
  • Language: en
  • Pages: 256

Large-Scale Pattern-Based Information Extraction from the World Wide Web

Extracting information from text is the task of obtaining structured, machine-processable facts from information that is mentioned in an unstructured manner. It thus allows systems to automatically aggregate information for further analysis, efficient retrieval, automatic validation, or appropriate visualization. This work explores the potential of using textual patterns for Information Extraction from the World Wide Web.

Data Science and Classification
  • Language: en
  • Pages: 350

Data Science and Classification

Data Science and Classification provides new methodological developments in data analysis and classification. The broad and comprehensive coverage includes the measurement of similarity and dissimilarity, methods for classification and clustering, network and graph analyses, analysis of symbolic data, and web mining. Beyond structural and theoretical results, the book offers application advice for a variety of problems, in medicine, microarray analysis, social network structures, and music.

Advances in Data Analysis
  • Language: en
  • Pages: 689

Advances in Data Analysis

This book focuses on exploratory data analysis, learning of latent structures in datasets, and unscrambling of knowledge. Coverage details a broad range of methods from multivariate statistics, clustering and classification, visualization and scaling as well as from data and time series analysis. It provides new approaches for information retrieval and data mining and reports a host of challenging applications in various fields.

2001 IEEE International Conference on Data Mining
  • Language: en
  • Pages: 704

2001 IEEE International Conference on Data Mining

This proceedings of the November 2001 conference explores the design, analysis and implementation of data mining theory and systems. The 72 regular papers and 37 posters discuss data mining algorithms, data and knowledge representation, modeling of data to support data mining, scalability issues, st

The Semantic Web: Research and Applications
  • Language: en
  • Pages: 768

The Semantic Web: Research and Applications

  • Type: Book
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  • Published: 2005
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  • Publisher: Unknown

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Recommender Systems for Social Tagging Systems
  • Language: en
  • Pages: 116

Recommender Systems for Social Tagging Systems

Social Tagging Systems are web applications in which users upload resources (e.g., bookmarks, videos, photos, etc.) and annotate it with a list of freely chosen keywords called tags. This is a grassroots approach to organize a site and help users to find the resources they are interested in. Social tagging systems are open and inherently social; features that have been proven to encourage participation. However, with the large popularity of these systems and the increasing amount of user-contributed content, information overload rapidly becomes an issue. Recommender Systems are well known applications for increasing the level of relevant content over the “noise” that continuously grows a...

Semantic Taxonomy Induction
  • Language: en
  • Pages: 390

Semantic Taxonomy Induction

  • Type: Book
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  • Published: 2009
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  • Publisher: Unknown

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Data Analysis, Machine Learning and Knowledge Discovery
  • Language: en
  • Pages: 461

Data Analysis, Machine Learning and Knowledge Discovery

Data analysis, machine learning and knowledge discovery are research areas at the intersection of computer science, artificial intelligence, mathematics and statistics. They cover general methods and techniques that can be applied to a vast set of applications such as web and text mining, marketing, medicine, bioinformatics and business intelligence. This volume contains the revised versions of selected papers in the field of data analysis, machine learning and knowledge discovery presented during the 36th annual conference of the German Classification Society (GfKl). The conference was held at the University of Hildesheim (Germany) in August 2012. ​

Helping Hands
  • Language: en
  • Pages: 294

Helping Hands

  • Type: Book
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  • Published: 2006
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  • Publisher: Unknown

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