Abstract


 
 
 Knowledge Discovery in Databases (KDD), as any organizational process, is carried out beneath a Knowledge Management (KM) model adopted (even informally) by a corporation. KDD is grossly described in three steps: pre-processing, data mining, and post-processing. The latter is mainly related to the task of transforming in knowledge the patterns issued in the data mining step. On the other hand, KM comprises the following phases, in which knowledge is the subject of the actions: identification of abilities, acquisition, selection and validation, organization and storage, sharing, application, and creation. Although there are many overlaps between KDD and KM, one of them is broadly recognized: the point in which knowledge arises. This paper concerns a study aimed at clarifying relations between the overlapping areas of KDD and knowledge creation, in KM. The work is conducted by means of a case study using the data from the Electoral Court of the Federal District (ECFD), Brazil. The study was developed over a 1.717.000-citizens data set from which data mining models were built by applying algorithms from Weka. It was observed that, although the importance of Information Technology is well recognized in the KM realm, the techniques of KDD deserve a special place in the knowledge creation phase of KM. Moreover, beyond the overlap of post- processing and knowledge creation, other steps of KDD can contribute significantly to KM. An example is the fact that one important decision taken from the ECFD board was taken on the basis of a knowledge acquired from the pre-processing step of KDD.
 
 

Highlights

  • AND MOTIVATIONPractitioners on Knowledge Management (KM) usually adopt some model to guide the process and this model describes the activity of knowledge creation

  • The Knowledge Discovery in Databases (KDD) practice has been supported by methods like CRISP-DM [1], that include an interpretation activity

  • CEP: 70910–900 – Brasília – DF - Brasil mladeira@cic.unb.br paper we explore relations between KDD and KM phases by means of a case study in order to set a scene in which we show the specific importance of KDD to KM and try to make smoother the road of integration of both areas

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Summary

INTRODUCTION

Practitioners on Knowledge Management (KM) usually adopt some model to guide the process and this model describes the activity of knowledge creation. The Knowledge Discovery in Databases (KDD) practice has been supported by methods like CRISP-DM [1], that include an interpretation activity. The clearest overlap of KDD and KM is the knowledge creation phase in KM and the interpretation task in KDD. This model considers four aspects that compose the environment of KM: leadership, culture, technology, measures and compensations. Inside this environment, seven activities related to the generation of organizational knowledge are proposed. The fourth section presents some findings of this research and points out some future works

KDD AND KM
ORGANIZATIONAL CONTEXT
CASE STUDY
Methodology description
The case approach
CONCLUSIONS AND FUTURE WORK

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