Decision Support System for Managing Educational Capacity Utilization

Abstract

Decision-making in the field of academic planning involves extensive analysis of large data volumes originating from multiple systems.With the many new technology application areas evolving from the domain of electrical engineering, computer engineering, and computer science, deans and department chairs must ensure that new specializations and programs are adequately supported. Academic workload management is concerned with di ....etc

[:=Read Full Message Here=:]

i desperatly need dfd for help desk support system.. ....etc

[:=Read Full Message Here=:]

Project type: Application, web/windows based
Project title: Decision Support System for a Fuel Management company
Background/Introduction
Energy Care Ltd (ECL) is a company started with the objective of providing Fuel Management Solution to industrial consumers like power plants, cement plants and fertilizer plants etc within the country. At present they are supplying coal to these organizations. Their overseas business associate EC Worldwide Inc(ECW) helps ECL in sourcing coal from mines located in Australia, South Afr ....etc

[:=Read Full Message Here=:]

hello sir,

I am looking for a simple and easily understandable ppt on topic Expert System and Decision making..containing detail knowledge and covering all relevant matter regarding topics..Its Kindly help full.. if u provide me the info.regarding the same

thanks you
RICHA johari ....etc

[:=Read Full Message Here=:]

Data Warehouses, Decision Support and Data Mining

A Data Warehouse is a subject-oriented,integrated,time-variant,non-volatile collection of data used in support of management decision making processes.

Subject-Oriented:-
The data warehouse is organized around the key subjects (or high-level entities) of the enterprise.

Major subjects include
a) Customers
b) Patients
c) Students
d) Products
e) Etc.

Data support :-

Stored collection of diverse data
A solution to data integration problem
Single repository of information
Sub ....etc

[:=Read Full Message Here=:]

Distributed Algorithm for En Route Aggregation Decision in Wireless Sensor Networks-

Abstract
Sensor networks en route aggregation decision regarding where and when aggregation shall be performed along the routes has been explicitly , implicitly studied extensively. However, existing solutions have omitted one key dimension in the optimization space, namely, the aggregation cost. In this paper, focusing on optimizing over both transmission and aggregation costs, we develop an online algorithm capable of dynamically adjusting the route stru ....etc

[:=Read Full Message Here=:]

Presented By:
SuKyoung Lee*, Kotikalapudi Sriram  Kyungsoo Kim¡, JongHyup Lee*, YoonHyuk Kim¡, and Nada Golmie 

Abstract”
There are currently heterogeneous wireless access networks. A large variety of applications utilizing these networks will demand features such as real-time, high-availability and even instantaneous high-bandwidth in some cases. Therefore, it is imperative for network service providers to make the best possible use of the combined resources of available heterogeneous networks for connection su ....etc

[:=Read Full Message Here=:]

Artificial Intelligence is all about bringing Common Sense, Expert Knowledge, and Superhuman Reasoning to Computers. For the most part, AI does not produce stand-alone systems, but instead adds knowledge and reasoning to existing applications, databases, and environments, to make them friendlier, smarter, and more sensitive to user behavior and changes in their environments.
In the domain of Artificial intelligence, various problem-solving techniques have been developed. Though working towards the common goal of making a computer Ëœintellige ....etc

[:=Read Full Message Here=:]

Abstract
Efficiency and scalability are fundamental issues concerning data mining in large databases. Although classification has been studied extensively, few of the known methods take serious consideration of efficient induction in large databases and the analysis of data at multiple abstraction levels. The paper addresses the efficiency and scalability issues by proposing a data classification method which integrates attribute oriented induction, relevance analysis, and the induction of decision trees. Such an integration leads to efficient ....etc

[:=Read Full Message Here=:]

Abstract
Information Technology Outsourcing (ITO)has generated considerable research interest since the historicEastman Kodak deals of 1989. In this paper, amodel has been developed for making the ITO decisionbased on the Analytic Hierarchy Process (AHP). Two hierarchieshave been developed - one for making a choiceof activities to outsource and another to choose the appropriateoutsourcing methodology. The model has beentested by applying it to an outsourcing decision made bya leading locomotive company of India. Keywords Ou ....etc

[:=Read Full Message Here=:]