ISSN: 1548-3924

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International Journal of Data Warehousing and Mining Q4 Unclaimed

IGI Publishing United States

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International Journal of Data Warehousing and Mining is a journal indexed in SJR in Software and Hardware and Architecture with an H index of 24. It has an SJR impact factor of 0,25 and it has a best quartile of Q4. It has an SJR impact factor of 0,25.

Type: Journal

Type of Copyright:

Languages:

Open Access Policy:

Type of publications:

Publication frecuency: -

Categories: Hardware and Architecture (Q4) Software (Q4)

Price

- €

Inmediate OA

NPD

Embargoed OA

- €

Non OA

Metrics

International Journal of Data Warehousing and Mining

0,25

SJR Impact factor

24

H Index

5

Total Docs (Last Year)

61

Total Docs (3 years)

169

Total Refs

86

Total Cites (3 years)

61

Citable Docs (3 years)

1.47

Cites/Doc (2 years)

33.8

Ref/Doc

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Aims and Scope

Best articles by citations

Dimensionality Reduction with Unsupervised Feature Selection and Applying Non-Euclidean Norms for Classification Accuracy

Understanding the SNN Input Parameters and How They Affect the Clustering Results

Visual Mobility Analysis using T-Warehouse

Identifying and Analyzing Popular Phrases Multi-Dimensionally in Social Media Data

Graph-Based Modelling of Concurrent Sequential Patterns

The Use of Smart Tokens in Cleaning Integrated Warehouse Data

Maintaining Dimension's History in Data Warehouses Effectively

Fuzzy Miner

An OLAM Operator for Multi-Dimensional Shrink

Efficient Compression and Storage of XML OLAP Cubes

DMA

Adaptation of Error Adjusted Bagging Method for Prediction

SHOW MORE ARTICLES

An Efficient Method for Discretizing Continuous Attributes

Discovering Frequent Embedded Subtree Patterns from Large Databases of Unordered Labeled Trees

Mining Frequent Generalized Patterns for Web Personalization in the Presence of Taxonomies

Overview of PAKDD Competition 2007

Soft Set Theory Based Decision Support System for Mining Electronic Government Dataset

The Dynamics of Content Popularity in Social Media

Domain-Driven Data Mining

Mining Integrated Sequential Patterns From Multiple Databases

Semi-Automatic Design of Spatial Data Cubes from Simulation Model Results

Privacy-Preserving Hybrid K-Means

Conceptual and Systematic Design Approach for XML Document Warehouses

Improved Data Partitioning for Building Large ROLAP Data Cubes in Parallel