Data Mining Tools and Techniques: a review

Abstract

Data mining automates the detection of relevant patterns in a database, using defined approaches andalgorithms to look into current and historical data that can then be analyzed to predict future trends.Because data mining tools predict future trends and behaviors by reading through databases for hiddenpatterns, they allow organizations to make proactive, knowledge-driven decisions and answer questions thatwere previously too time-consuming to resolve. The data mining methods such as clustering, associationrules, sequential pattern, statistics analysis, characteristics rules and so on can be used to find out the usefulknowledge, enabling such data to become the real fortune of logistics companies and support theirdecisions and development. This paper introduces the significance use of data mining tools and techniquesin logistics management system, and its implications. Finally, it is pointed out that the data miningtechnology is becoming more and more powerful in logistics management.

Keywords: Logistics management, Data Mining concepts, application areas, Tools and Techniques