Classifying Phone Usage Data - Usage of Empirical Distribution Functions as Basic Variable for Cluster Analysis to Characterize the Behavior of Teleph

Name: Classifying Phone Usage Data - Usage of Empirical Distribution Functions as Basic Variable for Cluster Analysis to Characterize the Behavior of Teleph
Brand: VDM Verlag Dr. Mueller E.K.
SKU: 9783836487030
Price: 26937 HUF
Availability: InStock

Szerző: Elmar Schlappack

Nyelv:

Kötés: Puha kötésű

Kiadó: VDM Verlag Dr. Mueller E.K.

Elérhetőség: Beszállítói készleten

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Examples how a provider of telephone services is able to identify customers who run a dialler or how...

Információk a könyvről

Szerző

Elmar Schlappack

Nyelv

Angol

Kötés

Könyv - Puha kötésű

Kiadva

2008

oldal

236

EAN

9783836487030

ISBN

3836487039

Enbook ID

07086368

Kiadó

VDM Verlag Dr. Mueller E.K.

Súly

348

Méretek

153 x 232 x 16

Teljes leírás

Examples how a provider of telephone services is able to identify customers who run a dialler or how a company is able to identify who mainly answers inbound calls illustrate a new approach to cluster analysis. It has been assumed that the empirical distribution function is appropriate for classifying behaviour of telephone subscribers. Therefore its suitability and possible alternatives are studied. Since no standard function for computing the dissimilarity matrices were available, a function has been designed in the programming language C that neither limits the size of the target data nor the length of the dissimilarity matrix. The clustering methods from Kaufmann and Rousseeuw are used which accepts a dissimilarity matrix as input. The use of the method is clearly exemplified within the scope of the KDD process (knowledge discovery in databases). Moreover, a very simple example is given which emphasis that the method is capable of being applied to very different fields.

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Classifying Phone Usage Data - Usage of Empirical Distribution Functions as Basic Variable for Cluster Analysis to Characterize the Behavior of Teleph

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Teljes leírás

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