Classification, Data Analysis, and Knowledge Organization

Peter Ihm

ISBN 10: 3540534830 / ISBN 13: 9783540534839

Published by Springer Berlin Heidelberg Feb 1991, 1991

About this Item

This item is printed on demand - it takes 3-4 days longer - Neuware -In science, industry, public administration and documentation centers large amounts of data and information are collected which must be analyzed, ordered, visualized, classified and stored efficiently in order to be useful for practical applications. This volume contains 50 selected theoretical and applied papers presenting a wealth of new and innovative ideas, methods, models and systems which can be used for this purpose. It combines papers and strategies from two main streams of research in an interdisciplinary, dynamic and exciting way: On the one hand, mathematical and statistical methods are described which allow a quantitative analysis of data, provide strategies for classifying objects or making exploratory searches for interesting structures, and give ways to make comprehensive graphical displays of large arrays of data. On the other hand, papers related to information sciences, informatics and data bank systems provide powerful tools for representing, modelling, storing and retrieving facts, data and knowledge characterized by qualitative descriptors, semantic relations, or linguistic concepts. The integration of both fields and a special part on applied problems from biology, medicine, archeology, industry and administration assure that this volume will be informative and useful for theory and practice. 412 pp. Englisch.

Seller Inventory # 9783540534839

Bibliographic Details

• Title: Classification, Data Analysis, and Knowledge Organization
• Publisher: Springer Berlin Heidelberg Feb 1991
• Publication Date: 1991
• Language: English
• ISBN 10: 3540534830
• ISBN 13: 9783540534839
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 244W x 170H x 23D millimeters 244 millimeters width by 170 millimeters height by 23 millimeters depth
• Weight: 708 grams

About this title

Synopsis

In science, industry, public administration and documentation centers large amounts of data and information are collected which must be analyzed, ordered, visualized, classified and stored efficiently in order to be useful for practical applications. This volume contains 50 selected theoretical and applied papers presenting a wealth of new and innovative ideas, methods, models and systems which can be used for this purpose. It combines papers and strategies from two main streams of research in an interdisciplinary, dynamic and exciting way: On the one hand, mathematical and statistical methods are described which allow a quantitative analysis of data, provide strategies for classifying objects or making exploratory searches for interesting structures, and give ways to make comprehensive graphical displays of large arrays of data. On the other hand, papers related to information sciences, informatics and data bank systems provide powerful tools for representing, modelling, storing and retrieving facts, data and knowledge characterized by qualitative descriptors, semantic relations, or linguistic concepts. The integration of both fields and a special part on applied problems from biology, medicine, archeology, industry and administration assure that this volume will be informative and useful for theory and practice.