Mohamed kachbouri | ISG Institut Supérieur de Gestion (original) (raw)

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Papers by Mohamed kachbouri

This document presents lists of frequently used phrases that have a general acceptance in all dis... more This document presents lists of frequently used phrases that have a general acceptance in
all disciplines that you can use in specific sections of your paper. This means that they
are phrases that referees and readers frequently encounter, and this will help to describe
your findings using conventional language. This is important as referees and readers do
not want to be disturbed by strange expressions that could easily be replaced by one of
the standard phrases given in this chapter.

algorithme de clustering K-means analyse de donnéezs exercices et corrections

correctionTD analyse de donnes Exercice 1. 1. La population est constituée des 20 étudiants nommé... more correctionTD analyse de donnes
Exercice 1. 1. La population est constituée des 20 étudiants nommés, chacun constituant une unité statistique. Le caractère est l'appétit de lecture, chaque étudiant étant caractérisé par un appétit plus ou moins grand (ou égal) par rapport aux autres. Cet appétit serait un caractère quantitatif s'il était mesuré par un nombre de livres lus. Une indication du nombre de livres lus n'est pas une quantité mais une qualité, même s'il y a un ordre: moyen n'est pas un nombre. Le caractère est donc qualitatif (et ordinal).Les modalités sont au nombre de quatre : A, B, C ,D. Elles sont chacune une rubrique de la nomenclature des degrés de lecture. 2. Le tableau est alors constitué de quatre lignes (une par modalité) et deux colonnes (une pour la nomenclature et une pour les effectifs), sans oublier le titre et la source des données : Répartition du groupe en degrés de lecture

The relational data model, which was introduced by Codd in 1970 and earned him the Turing Award a... more The relational data model, which was introduced by Codd in 1970 and earned him the Turing Award a
decade later, was the foundation of today’s multi-billion-dollar database industry. During the 1990s, a
new type of data model, the multidimensional data model, has emerged, which has taken over from the
relational model where the objective is to analyze data, rather than to perform on-line transactions.
Multidimensional data models are designed expressly to support data analyses. A number of
such models have been proposed by researchers from academia and industry. In academia, formal
mathematical models have been proposed, while the industrial proposals have typically been specified
more or less implicitly by the concrete software tools that implement them.
Briefly, multidimensional models categorize data as being either facts with associated numerical measures, or as being dimensions that characterize the facts and are mostly textual. For example, in a retail business, products are sold to customers at certain times in certain amounts and at certain prices. A typical
fact would be a purchase. Typical measures would be the amount and price of the purchase. Typical
dimensions would be the location of the purchase, the type of product being purchased, and the time of the purchase. Queries then aggregate measure values over ranges of dimension values to produce results
such as the total sales per month and product type........

The industry trend towards self-service business intelligence is impeded by the absence, in comme... more The industry trend towards self-service business intelligence is impeded by the absence, in
commercially-available information systems, of automated identification of potential issues
with summarization operations. Research on statistical databases and on data warehouses
have both produced widely-accepted categorisations of measure attributes, the former based
on general summarizability properties and the latter based on measures' additivity properties. We
demonstrate that neither of these categorisations is an appropriate basis for precise identification
of measure types since they are incomplete, ambiguous and insufficiently refined.
Using a new categorisation of dimension types and multidimensional structures, we derive a
measure categorisation which is a synthesis and a refinement of the two aforementioned
categorisations. We give formal definitions for our summarizability types, based on the
relational model of data, and then construct rules for correct summarization by using these
definitions. We also give a method to detect whether a given MDX OLAP query conforms to those
rules.

Books by Mohamed kachbouri

Acentral concern of any company is how to reduce its costs, since any cost reduction flows straig... more Acentral concern of any company is how to reduce its costs, since any cost reduction flows straight into profi ts. However, cost reduction must
be accomplished without impacting customer loyalty or reducing the ability
of the organization to achieve its long-term goals. Thus, the real issue is
how to carefully pare away unnecessary costs while maintaining a robust
organization. Cost Reduction Analysis shows how to do this. It describes a
variety of cost reduction tools and the issues associated with using them,
and then goes on to describe various forms of cost reduction in key
expense areas, such as sales and marketing, production, payroll, and
benefits.

Drafts by Mohamed kachbouri

TD2 : ANALYSE SYNTAXIQUE METHODE D'ANALYSE DESCENDANTE

Thesis Chapters by Mohamed kachbouri

Customer relationshipmanagement’s impact in thecommercial marketplace cannot be undervalued. One ... more Customer relationshipmanagement’s impact in thecommercial marketplace cannot
be undervalued. One of the most common mistakes made by companies is to
view CRM as solely a technology or business challenge. CRM is first and foremost a
business strategy that can be effectively executed through the appropriate business
process and technology management capabilities especially in e-commerce filed,
so any change in customer’s behavior affects the customer’s value. In addition, profitability
and economic viability also change. Given the potential of e-CRM or CRM
as powerful tools to guide customer-oriented understanding and analysis, greater
attention is required.
The main purpose of this master thesis is to implement CRM strategy with an
in-house solution and compared between different another development approach
for an e-commerce application. This dissertation presents a guide to developing an
application with Enterprise philosophy for two main part of our project. The first
is an e-commerce website and the second is admin dashboard for CRM process.
Unifiedmodeling language is used to model the system main features.

algorithme de clustering K-means analyse de donnéezs exercices et corrections

TD2 : ANALYSE SYNTAXIQUE METHODE D'ANALYSE DESCENDANTE