Kniha 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

Jazyk: Angličtina
Väzba: Brožovaná
Dostupnosť: Skladom u dodávateľa
Odosielame za 8-11 dní
68.16
Examples how a provider of telephone services is able to identify customers who run a dialler or how...

Informácie o knihe

Jazyk
Angličtina
Väzba
Kniha - Brožovaná
Vydalo
2008
Stránok
236
EAN
9783836487030
ISBN
3836487039
Enbook ID
07086368
Hmotnosť
348
Rozmery
153 x 232 x 16

Kompletný popis

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.

Mohlo by vás zaujímať

Fractals and Scaling in Finance

Benoît B. Mandelbrot
117.03

Studies in Numismatic Method

C. N. L. BrookeB. H. I. StewartJ. G. PollardT. R. Volk
61.79

On the Run

Bill Myers
6.16

Zákazníci, ktorí si kúpili túto knihu, kúpili tiež

Merida y La II Republica

Juan Carlos L Pez D Az
84.42

Gabon/Guin e Equatoriale

Jonathan Ndoutoume Ngome
42.40