Tool Selection Methodology in Data Mining
نویسندگان
چکیده
A very important problem in the data mining process is detecting too late that the tool selected is inappropriate to do the objective of business. If this happens, we are wasting time and money. This paper presents a methodology that permits to select a tool for the process of data mining from a set of characteristics.
منابع مشابه
Methodology for Selection of a Data Mining Tool
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 m...
متن کاملData mining for decision making in engineering optimal design
Often in modeling the engineering optimization design problems, the value of objective function(s) is not clearly defined in terms of design variables. Instead it is obtained by some numerical analysis such as FE structural analysis, fluid mechanic analysis, and thermodynamic analysis, etc. Yet, the numerical analyses are considerably time consuming to obtain the final value of objective functi...
متن کاملA Methodology for Evaluating and Selecting Data Mining Software
As data mining evolves and matures more and more businesses are incorporating this technology into their business practices. However, currently data mining and decision support software is expensive and selection of the wrong tools can be costly in many ways. This paper provides direction and decision-making information to the practicing professional. A framework for evaluating data mining tool...
متن کاملA Tool for Web Usage Mining
This paper presents a tool for web usage mining. The aim is centered on providing a tool that facilitates the mining process rather than implement elaborated algorithms and techniques. The tool covers different phases of the CRISP-DM methodology as data preparation, data selection, modeling and evaluation. The algorithms used in the modeling phase are those implemented in the Weka project. The ...
متن کاملIntegrating AHP and data mining for effective retailer segmentation based on retailer lifetime value
Data mining techniques have been used widely in the area of customer relationship management (CRM). In this study, we have applied data mining techniques to address a problem in business-to-business (B2B) setting. In a manufacturer-retailer-consumer chain, a manufacturer should improve its relationship with retailers to continue its business. Segmentation is a useful tool for identifying groups...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2006