Data Mining And Statistics: Examining Critical Patterns Of Research And Practice

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Title: Data Mining And Statistics: Examining Critical Patterns Of Research And Practice
Author: Wang, Ailing
Abstract: Data Mining (DM ) has gained increasing attention in academia and growing importance in business over past decades . This is a study to examine the current status of DM in both research and practice with a focus on the role of statistics for the advancement of the field . Being multi -disciplinary in nature , DM challenges researchers to work together and be aware of the progress made in other fields in order to contribute towards the development of the field . By employing citation analysis techniques and using publicly available citation data , I empirically examine how DM reference fields , such as statistics , machine learning , pattern recognition , and database systems , have shaped the intellectual structure of DM and how these fields have communicated with and learnt from another . Organizations are eager to employ this enabling tool to leverage business intelligence for more effective decision -making and improved operations . However , little empirical research explores the underlying factors that influence the success of a DM project . As a result , organizations lack guidance in their DM endeavor . Through field studies , I examine how DM practitioners do DM and what they perceive to be critical for the success of the projects . Based on the findings , theories , and prior empirical research , I further adapt two research models that relate the influence of both team member skills and important project process characteristics to DM implementation success . A survey instrument has also been developed , which could be used to empirically validate and confirm the relationships . For researchers , results of the study should constitute a first step toward understanding how skill sets and project process characteristics affect DM implementation success . For practitioners , the results offer guidelines for conducting DM projects , particularly in the integration of statistics to achieve DM success .
URI: http : / /hdl .handle .net /10106 /163
Date: 2007-08-23

Citation

Data Mining And Statistics: Examining Critical Patterns Of Research And Practice. Available electronically from http : / /hdl .handle .net /10106 /163 .

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