The Modern Algebra of Information Retrieval

The Modern Algebra of Information Retrieval

von

Dominich, Sándor

BuchKartoniert, Paperback

Verkaufsrang52218inInformatik EDV

CHF160.00

BuchabCHF160.00

E-BookCHF142.00

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Beschreibung

This book takes a unique approach to information retrieval by laying down the foundations for a modern algebra of information retrieval based on lattice theory. All major retrieval methods developed so far are described in detail, along with Web retrieval algorithms, and the author shows that they all can be treated elegantly in a unified formal way, using lattice theory as the one basic concept. The book¿s presentation is characterized by an engineering-like approach.

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ISBN/GTIN978-3-642-09643-3

ProduktartBuch

EinbandKartoniert, Paperback

VerlagSpringer Berlin Heidelberg

Erscheinungsdatum28.10.2010

AuflageSoftcover reprint of hardcover 1st ed. 2008

ReiheThe Information Retrieval Series

Reihen-Nr.24

Seiten344 Seiten

SpracheEnglisch

MasseBreite 155 mm, Höhe 235 mm, Dicke 19 mm

Gewicht522 g

Artikel-Nr.10881732

KatalogBuchzentrum

Datenquelle-Nr.11205605

WarengruppeInformatik EDV

Weitere Details

Reihe

Automatic Indexing and Abstracting of Document Texts

Information Retrieval Systems

Mining the World Wide Web

Integrated Region-Based Image Retrieval

Topic Detection and Tracking

Language Modeling for Information Retrieval

Machine Learning and Statistical Modeling Approaches to Image Retrieval

Information Retrieval

Charting a New Course: Natural Language Processing and Information Retrieval

Intelligent Document Retrieval

The Turn

New Directions in Cognitive Information Retrieval

Cross-Language Information Retrieval

Computing Attitude and Affect in Text: Theory and Applications

Information Extraction: Algorithms and Prospects in a Retrieval Context

Information Access through Search Engines and Digital Libraries

Visualization for Information Retrieval

The Modern Algebra of Information Retrieval

Dynamic Taxonomies and Faceted Search

A Generative Theory of Relevance

A Feature-Centric View of Information Retrieval

Current Challenges in Patent Information Retrieval

Text Retrieval and Filtering

Dive into Misinformation Detection

Teaching and Learning in Information Retrieval

ImageCLEF

Advanced Topics in Information Retrieval

Collaborative Information Seeking

Introduction to Information Retrieval and Quantum Mechanics

Music Similarity and Retrieval

Current Challenges in Patent Information Retrieval

Social Information Seeking

Entity-Oriented Search

Information Retrieval: Uncertainty and Logics

Laboratory Experiments in Information Retrieval

Information Retrieval Evaluation in a Changing World

Data Science for Fake News

Evaluating Information Retrieval and Access Tasks

Neural Approaches to Conversational Information Retrieval

Query Understanding for Search Engines

Learning to Quantify

A Behavioral Economics Approach to Interactive Information Retrieval

Probabilistic Indexing for Information Search and Retrieval in Large Collections of Handwritten Text Images

Document Computing

Automatic Indexing and Abstracting of Document Texts

Advances in Information Retrieval

Information Storage and Retrieval Systems

Perspectives on Content-Based Multimedia Systems

Über den/die AutorIn

Dominich, Sándor

Sándor Dominich is the George Pólya Professor of Computer Science, Head of the Information Retrieval Research Group, and Deputy Dean of the Faculty of Information Technology of the University of Pannonia, Veszprém, Hungary. His research interests include retrieval models, formal aspects, foundations, effectiveness measurement, and applications. He authored three books, including "Mathematical Foundations of Information Retrieval" (Springer, 2001) and over seventy research papers. He is a founding co-organiser of the ACM SIGIR MF/IR Workshop series 2000-2005, and ICTIR International Conference 2007 (both together with C.J. van Rijsbergen). He has served as a programme committee member of major Information Retrieval conferences.

The Modern Algebra of Information Retrieval

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