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Effective CRM through Customer Knowledge management
 Faced with extremely tough competition and flat sale growth companies are finding hard to secure customer loyalty
 Research has consistently shown that it costs four to five times more to acquire a new customer compared to retaining an existing one
 CRM provide the seamless integration that touches customer
 To effectively implement the CRM solution it is very important to identify real knowledge of different types of customers
How to get k ....etc

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INFORMATION RETRIEVAL AND KNOWLEDGE MANAGEMENT SYSTEM

Contents

Introduction
System analysis
Modules
System specifications
Software technologies
Data flow diagrams
Uml diagrams
Screen shots
Software testing
Conclusion
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Information Retrieval Knowledge Management System

ABSTRACT

This project will be designed and developed for university of Ballarath about FAQâ„¢s posted to various departments. The University examination branch wants to maintain all the frequently asked questions in the database subject wise, to avail them to all the students. And they will update the questions as and when required. The primary goal of Information Retrieval & Knowledg ....etc

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Presented by:
Raisa cabacaba
Jessie donasco
Reginard fajanoy
edmarlyn maravillosa


Knowledge Management and Special Purpose Business Information System
 KNOWLEDGE MANAGEMENT
 KM Strategy in organizations
“KM is a concept in which an enterprise gathers, organizes, shares, analyzes the knowledge of individuals and groups across the organization in way that directly affect performance”
A discipline that helps spread knowledge of individuals or groups across organizations in ways that directly a ....etc

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Abstract:
This paper presents an approach for integrating e-learning with the traditional education system. A conceptual map is then created for this integration leading to a functional model for open and flexible learning. In the proposed integration, convergence of CD-based, class based and web based education in recommended and architecture to achieve this convergence is presented. In order to transform the existing schools, colleges and universities into digital campuses, an inclusive system architecture is designed for digital campus. A c ....etc

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Abstract—In this paper, we present a novel framework, called learning by propagability, for two essential data mining tasks, i.e., classification and regression. The whole learning process is driven by the philosophy that the data labels and the optimal feature representation jointly constitute a harmonic system, where the data labels are invariant with respect to the propagation on the similarity graph constructed based on the optimal feature representation. Based on this philosophy, a unified framework of learning by propagability is propos ....etc

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effectiveness of Problem Based Learning Instructions on
knowledge and skills of students of Undergraduate program



In order for engineers to retain a competitive edge, they need to be provided with up-to-date knowledge and skills, the ability to solve problems, visualize, and the attitude to adapt to change. Consequently, engineering education is undergoing change, and the literature suggests those engineering skills, attitudes, and experiences enrich the engineering experience to include greater understa ....etc

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Knowledge Management: 3 D Battle ground

The Fourth Dimension

During the previous few years KM application has been doing well for the corporate but has been less accepted by all. The future of KM and its value depends on its abilities to overcome the corporate problem and its sustainability. The corporate are looking to create sustainable competitive advantage with the support and us of KM irrespectively of other areas. Most of the corporate frequently ask and discuss about the future and lookin ....etc

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HARDWARE ENHANCED ASSOCIATION RULE MINING WITH HASHING AND PIPELINING - KNOWLEDGE AND DATA ENGINEERING

Data mining techniques have been widely used in various applications. One of the most important data mining applications is association rule mining.

Apriori-based association rule mining in hardware, one has to load candidate item sets and a database into the hardware.

Since the capacity of the hardware architecture is fixed, if the number of candidate item sets or the number of items in the database is larger than the hardware capa ....etc

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