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

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

Szerző: Elmar Schlappack
Nyelv: Angol
Kötés: Puha kötésű
Kiadó: VDM Verlag Dr. Mueller E.K.
Elérhetőség: Beszállítói készleten
Küldés 8-11 napon belül
26 292 Ft
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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