Effective data warehouse for information delivery: A literature survey and classification

被引：6

作者：

Dahiya, Naveen ^{[1
]}

Bhatnagar, Vishal ^{[2
]}

Singh, Manjeet ^{[3
]}

机构：

[1] Department of Computer Science and Engineering, Maharaja Surajmal Institute of Technology, New Delhi-110058, C-4, Janakpuri

[2] Department of Computer Science and Engineering, Ambedkar Institute of Advanced Communication Technology and Research, Delhi-110031, Geeta Colony

[3] Department of Computer Science and Engineering, YMCA University of Science and Technology, Faridabad, Haryana

来源：

International Journal of Networking and Virtual Organisations | 2013年 / 12卷 / 03期

关键词：

Business solutions; Data warehouse; Strategic decisions;

D O I：

10.1504/IJNVO.2013.056989

中图分类号：

学科分类号：

摘要：

Data warehouse is playing an important role in strategic decision making process for complex business solutions. To gain competitive advantage, business executives are increasingly making use of data warehouse concepts as it plays a vital role in analysing, predicting future trends based on past and current scenarios. We as authors have surveyed the various techniques used in building of data warehouse and the methods used for the implementation of techniques. We have conducted an in-depth survey of existing literature from various known international journal papers to come up with a framework which will help the researchers to focus on specific and emerging areas in the field of data warehouse development as well as application of data warehouse in various business domains. Copyright © 2013 Inderscience Enterprises Ltd.

引用

页码：217 / 237

页数：20

共 67 条

[1]

Aggarwal N., Kumar A., Khatter H., Aggarwal V., Analysis of the effect of DM techniques on database, Advances in Engineering Software, 47, 1, pp. 164-169, (2012)

[2]

Annoni E., Ravat F., Teste O., Zurfluh G., Towards multidimensional requirement design, Proceedings of the 8th International Conference on Data Warehousing and Knowledge Discovery, pp. 47-56, (2006)

[3]

Bara A., Diaconita V., Lungu I., Velicanu M., Improving performance in integrated DSS with object oriented modeling, WSEAS Transactions on Computers, World Scientific and Engineering Academy and Society (WSEAS), 8, 4, pp. 599-609, (2009)

[4]

Batini C., Cappiello C., Francalanci C., Maurino A., Methodologies for data quality assessment and improvement, Computing Surveys, 41, 3, pp. 1-52, (2009)

[5]

Bhamra G., Verma A., Patel R., Agent enriched distributed association rules mining: A review, Proceedings of the 7th International Conference on Agents and Data Mining Interaction, pp. 30-45, (2011)

[6]

Blanco C., Guzman D., Trujillo J., Fernandez-Medina E., Piattini M., Applying an MDA based approach to consider security rules in development of secure data warehouse, International Conference on ARES IEEE, pp. 528-533, (2009)

[7]

Blanco C., Guzman D., Trujillo J., Fernandez-Medina E., Piattini M., Including security rules support in MDA approach for secure data warehouse, International Conference on ARES IEEE, pp. 516-521, (2009)

[8]

Blanco C., Trujillo J., Fernandez-Medina E., Piattini M., Implementing multidimensional security in OLAP tools, 3rd International Conference on ARES IEEE, pp. 1248-1253, (2008)

[9]

Bobby D., Lee J., A framework for discovering relevant patterns using aggregation and intelligent data mining agents in telematics systems, Telematics and Informatics, 26, 4, pp. 343-352, (2009)

[10]

Caballero I., Vizcaino A., Piattini M., Optimal data quality in project management for global software developments, 4th International Conference on COINFO IEEE, pp. 210-219, (2009)

← 1 2 3 4 5 6 7 →