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  Encyclopedia of Keywords > Information > Information Technology > Computer Science > Information Retrieval   Michael Charnine

Keywords and Sections
USEFUL LINKS
WEIGHTED CONDORCET FUSION
WEB INFORMATION RETRIEVAL
INDEX TERM
RESPECT
DOCUMENT
MULTIMEDIA
INFORMATION THEORY
ILLUSTRATIONS
TEXT CATEGORIZATION
USER INTERFACES
FIRST CONCERNS
NATURAL LANGUAGE UNDERSTANDING
DATA MINING
INFORMATION EXTRACTION
APPLICATION
SYSTEMS
INDEXING
DIGITAL LIBRARIES
DATABASES
SEARCH
ENCARTA
SYSTEM
RESEARCH
RESEARCH INTERESTS
TEXT MINING
LANGUAGE PROCESSING
MACHINE LEARNING
COMPUTATIONAL LINGUISTICS
NATURAL LANGUAGE PROCESSING
INFORMATION RETRIEVAL
Review of Short Phrases and Links

    This Review contains major "Information Retrieval"- related terms, short phrases and links grouped together in the form of Encyclopedia article.

Definitions

  1. Information retrieval is a sub-field of computer science that deals with the automated storage and retrieval of documents. (Web site)
  2. Information retrieval is a wide, often loosely-defined term but in these pages I shall be concerned only with automatic information retrieval systems. (Web site)
  3. Private Information Retrieval (PIR) is the field that examines these kinds of problems. (Web site)

Useful Links

  1. Resource Central has many categories to the most useful links in support of information retrieval in resource research. (Web site)

Weighted Condorcet Fusion

  1. The weighted Condorcet fusion in information retrieval. (Web site)

Web Information Retrieval

  1. This book demonstrates that Web Information Retrieval is a stimulating area of research where Soft Computing technologies can be applied satisfactorily.

Index Term

  1. In information retrieval a descriptor is an index term.

Respect

  1. To conclude the article, we discuss various open issues that XML poses with respect to information retrieval and database research.

Document

  1. Content analysis describes the technique of identifying keywords and descriptors from a given Document in order to facilitate Information retrieval.
  2. In probabilistic information retrieval, the goal is to estimate the probability of relevance of a given document to a user with respect to a given query.

Multimedia

  1. It has been designed to support resource discovery and information retrieval of full-text documents, bibliographic data, images and multimedia. (Web site)

Information Theory

  1. Information theory is also used in information retrieval, intelligence gathering, gambling, statistics, and even in musical composition.

Illustrations

  1. The families of flowering plants: descriptions, illustrations, identification, information retrieval.
  2. WATSON, L. et DALLWITZ, M. J. 1992. The families of flowering plants: descriptions, illustrations, identification, and information retrieval.

Text Categorization

  1. Y. Yiming, " An evaluation of statistical approaches to text categorization ", Information Retrieval, 1998.

User Interfaces

  1. Modern Information Retrieval - A recent IR book, covering algorithms, implementation, query languages, user interfaces, and multimedia and web retrieval.

First Concerns

  1. The first concerns an information filtering system based on an adaptation of the generalized probabilistic model of information retrieval. (Web site)

Natural Language Understanding

  1. Speech retrieval makes use of techniques from speech recognition, natural language understanding and information retrieval. (Web site)

Data Mining

  1. Data mining, information retrieval, user interfaces, web search.

Information Extraction

  1. LRA has potential applications in many areas, including information extraction, word sense disambiguation, and information retrieval.

Application

  1. Another area of application, akin to expert systems, is that of information retrieval [9]. (Web site)

Systems

  1. Their preferred methods of information foraging has implications for the design of information retrieval systems for these researchers. (Web site)
  2. While the above systems represent information retrieval applications in terms of their main components of documents, queries, index terms, authors, etc.

Indexing

  1. Information Retrieval The study of systems for indexing, searching, and recalling data, particularly text or other unstructured forms. (Web site)
  2. Vector space model (or term vector model) is an algebraic model used for information filtering, information retrieval, indexing and relevancy rankings.

Digital Libraries

  1. My primary interests are database systems, information retrieval, digital libraries and electronic publishing.

Databases

  1. Artificial intelligence, databases, information retrieval, data mining, user interfaces, information visualization, and user modeling have all advanced. (Web site)
  2. Relational databases Study of algorithms for searching and processing information in documents and databases; closely related to information retrieval. (Web site)
  3. This volume is an invaluable resource for researchers, practitioners, and students working in information retrieval and databases. (Web site)

Search

  1. Information retrieval in digital libraries: bring search to the net.
  2. Web document clustering and categorization, information Retrieval, XML and search engine optimisation.

Encarta

  1. Projects such as Encarta, h2g2 and Wikipedia are examples of new forms of the encyclopedia as information retrieval becomes simpler.

System

  1. According to a further aspect of the information retrieval system, the repository of the XML documents can be a networked file system. (Web site)
  2. Simply defined, "electronic commerce is a system of online shopping and information retrieval accessed through networks of personal computers". (Web site)
  3. Information regarding the status of an application may be obtained from the Patent Application Information Retrieval (PAIR) system. (Web site)

Research

  1. Information Retrieval Research - An up-to-date overview of research in the field of information retrieval.
  2. Site dedicated to research of artificial intelligence algorithms applied to information retrieval, data mining and optimization methods.
  3. Machine Learning Research Group - UW-Madison - Research on information retrieval and extraction, bioinformatics, connectionist models, hybrid systems.

Research Interests

  1. His research interests are robotics, information retrieval, and computer vision.
  2. Stata. His research interests are in the areas of Internet information systems, Web information retrieval, hypertext, and security.

Text Mining

  1. Text Mining, Web Mining, Information Retrieval and Extraction from the WWW References - Links to reviews and analyses of text mining research.
  2. His main research interests are in text mining, data mining, information extraction, information retrieval, and intelligent interface to information systems.

Language Processing

  1. Empirical metaphor research, latent semantic analysis, information retrieval, co-author of "Speech and Language Processing" with Dan Jurafsky.

Machine Learning

  1. Machine learning for information retrieval: neural networks, symbolic learning, and genetic algorithms.
  2. Data mining, machine learning, optimization, mobile computing and information retrieval.
  3. It requires advanced techniques drawn from machine learning, intelligent information retrieval, and natural language processing.

Computational Linguistics

  1. These include computational linguistics, information retrieval and machine learning. (Web site)
  2. It underlines the importance of prepositions in a number of computational linguistics applications, such as information retrieval and machine translation. (Web site)
  3. Computational linguistics, automatic summarization, information retrieval, latent semantic analysis, computers and society.

Natural Language Processing

  1. CGs have been implemented in a variety of projects for information retrieval, database design, expert systems, and natural language processing.
  2. We also have research interests in applied natural language processing and information retrieval.
  3. Examples will include information retrieval, natural language processing, and robot control.

Information Retrieval

  1. Some straightforward applications of natural language processing include information retrieval (or text mining) and machine translation.
  2. A comprehensive introduction to natural language processing,speech recognition, speech synthesis, computational linguistics, and information retrieval.
  3. PLSA has applications in information retrieval and filtering, natural language processing, machine learning from text, and related areas. (Web site)

Categories

  1. Encyclopedia of Keywords > Information > Information Technology > Computer Science
  2. Information Technology > Computer Science > Computational Linguistics > Natural Language Processing
  3. Information > Information Technology > Computer Science > Computational Linguistics
  4. Information Technology > Computer Science > Artificial Intelligence > Machine Learning
  5. Condorcet

Subcategories

Semantic Search
  1. Books about "Information Retrieval" in Amazon.com

Book: Keywen Category Structure


  Short phrases about "Information Retrieval"
  Originally created: November 08, 2006.
  Links checked: February 18, 2013.
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