Descriptor
Algorithms | 4 |
Genetics | 4 |
Comparative Analysis | 3 |
Information Retrieval | 3 |
Relevance (Information… | 3 |
Databases | 2 |
Evaluation Methods | 2 |
Artificial Intelligence | 1 |
Coding | 1 |
DNA | 1 |
Evaluation | 1 |
More ▼ |
Source
Information Processing &… | 4 |
Author
Publication Type
Journal Articles | 4 |
Reports - Descriptive | 2 |
Reports - Evaluative | 1 |
Reports - Research | 1 |
Speeches/Meeting Papers | 1 |
Education Level
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating

Stejic, Zoran; Takama, Yasufumi; Hirota, Kaoru – Information Processing & Management, 2003
Proposes local similarity pattern (LSP) as a new method for computing digital image similarity. Topics include optimizing similarity computation based on genetic algorithm; relevance feedback; and an evaluation of LSP on five databases that showed an increase in retrieval precision over other methods for computing image similarity. (Author/LRW)
Descriptors: Algorithms, Databases, Evaluation Methods, Genetics

Tamine, Lynda; Chrisment, Claude; Boughanem, Mohand – Information Processing & Management, 2003
Explains the use of genetic algorithms to combine results from multiple query evaluations to improve relevance in information retrieval. Discusses niching techniques, relevance feedback techniques, and evolution heuristics, and compares retrieval results obtained by both genetic multiple query evaluation and classical single query evaluation…
Descriptors: Algorithms, Comparative Analysis, Evolution, Genetics

Lopez-Pujalte, Cristina; Guerrero Bote, Vicente P.; Moya Anegon, Felix de – Information Processing & Management, 2002
Discussion of information retrieval, query optimization techniques, and relevance feedback focuses on genetic algorithms, which are derived from artificial intelligence techniques. Describes an evaluation of different genetic algorithms using a residual collection method and compares results with the Ide dec-hi method (Salton and Buckley, 1990…
Descriptors: Algorithms, Artificial Intelligence, Comparative Analysis, Evaluation Methods

Grumbach, Stephane; Tahi, Fariza – Information Processing & Management, 1994
Analyzes the properties of genetic sequences that cause the failure of classical algorithms used for data compression. A lossless algorithm, which compresses the information contained in DNA and RNA sequences by detecting regularities such as palindromes, is presented. This algorithm combines substitutional and statistical methods and appears to…
Descriptors: Algorithms, Coding, Comparative Analysis, Databases