• Corpus ID: 212523535

Methodology for Selection of a Data Mining Tool

@inproceedings{Verma2014MethodologyFS,
  title={Methodology for Selection of a Data Mining Tool},
  author={Vikash Verma and Sunil K. Dhawan},
  year={2014}
}
In this paper, we describe the procedure for selection of a data mining tool for a software project. These days it is impossible or very difficult for any software developer to ignore the usage of data mining tools. Even some developers are using data mining data or information as the basis for the development of the software. Thus there is a high relevance factor for using the interpreted or mined data using these tools. So, it becomes necessary for any developer to select an appropriate tool… 

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References

SHOWING 1-5 OF 5 REFERENCES
Development of Multi-Criteria Metrics for Evaluation of Data Mining Algorithms
TLDR
The main aim of this paper is to suggest multi-criteria based metrics that can be used as comparators for an objective evaluation of data mining algorithms (DM-algorithms), based on DEA (Data Envelopment Analysis).
An Overview of Issues in Developing Industrial Data Mining and Knowledge Discovery Applications
TLDR
This paper surveys the growing number of industrial applications of data mining and knowledge discovery, and describes some representative applications, and examines how to assess the potential of a knowledge discovery application.
Knowledge Discovery and Data Mining: Towards a Unifying Framework
TLDR
The KDD process and basic data mining algorithms are defined, links between data mining, knowledge discovery, and other related fields are described, and an analysis of challenges facing practitioners in the field is analyzed.
Enterprise Mining: More than a Tool
  • Database Programming and Design,
  • 1998
Intelligence in the Mix
  • Database Programming and Design,
  • 1998