ISSN: 1041-4347

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IEEE Transactions on Knowledge and Data Engineering Q1 Unclaimed

IEEE Computer Society United States

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IEEE Transactions on Knowledge and Data Engineering is a journal indexed in SJR in Computational Theory and Mathematics and Information Systems with an H index of 174. It has an SJR impact factor of 1,36 and it has a best quartile of Q1. It is published in English. It has an SJR impact factor of 1,36.

IEEE Transactions on Knowledge and Data Engineering focuses its scope in these topics and keywords: query, queries, progressive, parametric, parallel, optimizationvolcanoan, networksglobal, mobile, minimization, ranking, ...

Type: Journal

Type of Copyright:

Languages: English

Open Access Policy:

Type of publications:

Publication frecuency: -

Categories: Computational Theory and Mathematics (Q1) Computer Science Applications (Q1) Information Systems (Q1)

Price

- €

Inmediate OA

NPD

Embargoed OA

- €

Non OA

Metrics

IEEE Transactions on Knowledge and Data Engineering

1,36

SJR Impact factor

174

H Index

289

Total Docs (Last Year)

560

Total Docs (3 years)

8600

Total Refs

5221

Total Cites (3 years)

540

Citable Docs (3 years)

8,78

Cites/Doc (2 years)

29,76

Ref/Doc

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Aims and Scope

Best articles by citations

Dimensionality reduction in automatic knowledge acquisition: a simple greedy search approach

System-guided view integration for object-oriented databases

A graph-based approach for timing analysis and refinement of OPS5 knowledge-based systems

Network caching strategies for a shared data distribution for a predefined service demand sequence

A Graph-Based Consensus Maximization Approach for Combining Multiple Supervised and Unsupervised Models

Analyzing outliers cautiously

Distributed evaluation of network directory queries

Using OODB modeling to partition a vocabulary into structurally and semantically uniform concept groups

A database perspective on geospatial data modeling

Achieving Secure and Dynamic Range Queries Over Encrypted Cloud Data

A Fast Multiple Longest Common Subsequence (MLCS) Algorithm

A strip-splitting-based optimal algorithm for decomposing a query window into maximal quadtree blocks

SHOW MORE ARTICLES

Augmenting a conceptual model with geospatiotemporal annotations

Set operations in object-based data models

Novel Biobjective Clustering (BiGC) Based on Cooperative Game Theory

WebCompanion: a friendly client-side Web prefetching agent

PriGuard: A Semantic Approach to Detect Privacy Violations in Online Social Networks

Dynamic buffer allocation in video-on-demand systems

Materialization and its metaclass implementation

Emphasizing Minority Class in LDA for Feature Subset Selection on High-Dimensional Small-Sized Problems

Estimating block selectivities for physical database design

Induction by attribute elimination

QUEM: an achievement test for knowledge-based systems

Adaptive and incremental processing for distance join queries

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