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Editor-in-Chief :
Dr Yantao Li
Dr Roberto Rodriguez Morales
Category : International Journal
Publisher : Bioinfo Publications
ISSN : 0975-3265 (Print) E-ISSN : 0975-9093 (Online) Frequency : Bi-Monthly
Index Copernicus Value (ICV) :       CODEN : AIM
DOI : 10.9735/0975-3265       Abbreviation : Adv Inform Min
Subject : Computer Science & Technology     License :     Plagiarism :
   
Aim & Scope
Advances in Information Mining, ISSN: 0975–3265 & E-ISSN: 0975–9093 aims to publish and disseminate knowledge on information retrieval including theoretical, experimental and applied research. Theoretical research reports a significant conceptual advance in the design of algorithms or other processes for some information retrieval task. Experimental research details a test of one or more theoretical ideas in a laboratory or natural setting.


Application research cover successful application of some already established technique to a significant real world problem involving information retrieval. Information retrieval overlaps with a variety of technical and behavioral fields. As a result, the journal includes papers, which unify concepts across several traditional disciplinary boundaries, with specific application to problems of information retrieval. The journal is targeted at both academic researchers and practicing IT professionals. This journal serves as an international forum for theory and experiment in information retrieval and its application in the networked information environment.

The journal focuses on articles on –
Advances in Information Mining,
Algorithms,
All areas of data visualisation,
Biological data curation,
Biomedical literature data mining,
Business Intelligence,
Characteristics of web collections,
Classification,
Clustering efficiency,
Context-dependent search,
Data engineering, data mining techniques, tools and applications,
Data mart,
Data mining methods,
Data models,
Data structures and Design,
Data warehousing process,
Distributed Systems,
Enterprise webs,
Evaluation and indexing,
Evolutionary computing,
Expert systems,
Exploratory and automated data analysis,
Filtering,
Fuzzy techniques,
Fuzzy, neural, and evolutionary approaches,
Genetic algorithms,
High performance bio-computing,
Hybrid systems, bootstrap and randomization,
Hypermedia,
Indexing,
Information extraction and retrieval,
Information extraction, link and topology analysis
Intelligent techniques used for business modeling,
Interaction,
Knowledge discovery process,
Knowledge-based analysis,
Machine Learning,
Mining databases,
Multi-lingual,
Multimedia,
Multivariate data visualisation data pre-processing,
Natural Language,
Neurocomputing,
Online analytical process,
Pattern Recognition,
Probabilistic Bayesian Logical Methods,
Retrieval,
Routing,
Scientific Datasets,
Semantic Structures,
Signal Detection,
Static Images,
Statistical pattern recognition, Classification, projection, regression, optimization clustering,
Summarization,
Synthesis,
Tools and languages,
Vector Space,
Web technology, mining and agents,
--developments in these fields have direct implications on key issues related to information retrieval.

Advances in Information Mining, ISSN: 0975–3265 & E-ISSN: 0975–9093 is an essential journal for all academic and industrial researchers who want expert knowledge on all major advances in information retrieval.
The journal aims to provide the most complete and reliable source of information on current developments in the field. The emphasis will be on publishing quality articles rapidly and openly available to researchers worldwide. All published articles will be deposited immediately upon publication in at least one widely and internationally recognized open access repository. Moreover, it is providing the maximum exposure to the articles.

The journal will be essential reading for academics, scientists and researchers who wish to keep abreast of the latest developments in the field. The publishers are confident of the journal’s rapid success.