On-line Analytical Processing (OLAP) has become a fundamental component of contemporary decision support systems and represents a means by which knowledge workers can efficiently analyze vast amounts of organizational data. Within the OLAP context, one of the more interesting recent themes has been the computation and manipulation of the data cube, a relational model that can be used to represent summarized multi-dimensional views of massive data warehousing archives.

Over the past five or six years a number of efficient sequential algo..............etc

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How did the two peers get connected? By which type of connectivity...............etc

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This article is presented by:
Chenjia Wang
Department of Computer Science
Wayne State University

Kevin P. Monaghan
Department of Computer Science
Wayne State University

Weisong Shi
Department of Computer Science
Wayne State University

ABSTRACT

Current access control schemes focus on the user and their rights and privileges relating to the access to both initiating functionality and accessing information. This approach, whil..............etc

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Flow Experience in Participatory Designed Online Environments

Abstract
The flow experience in participatory designed online environments is studied in this article. A flow can be formally defined as an optimal experience in which the participant feels the control over the tasks and clearly understands what he/she has to do.time distortion, telepresence etc are felt by the people During the flow experience .They maybe rewarded with a positive effect in the meanwhile.The flow in participatory designed online environments is ..............etc

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hello,
My name is Sumit and i have assigned a seminar report on this topic. i have searched a lot but i didn't find any relevant material on this topic. Please provide me with the report of this topic.
Thanks..............etc

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Self-Interested Routing in Online Environments

Abstract

A recent trend in routing research is to avoid inefficiencies in network-level routing by allowing hosts to either choose routes themselves (e.g., source routing) or use overlay routing networks (e.g., Detour or RON). Such approaches result in Self-interested routing, because routing decisions are no longer based on system-wide criteria but are instead designed to optimize host-based or overlay-based metrics. A series of theoretical results showing that Self-inte..............etc

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LOCATION BASED SPATIAL QUERY PROCESSING IN WIRELESS BROADCAST ENVIRONMENTS
Abstract: Location-based spatial queries (LBSQ s) refer to spatial queries whose answers rely on the location of the inquirer. Efficient processing of LBSQ s is of critical importance with the ever-increasing deployment and use of mobile technologies. We show that LBSQ s has certain unique characteristics that the traditional spatial query processing in centralized databases does not address. For example, a significant challenge is presented by wireless broadcasting env..............etc

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Continuous Monitoring of Spatial Queries in Wireless Broadcast Environments

Modules:
1. Network Module
2. Wireless Broadcasting
3. Air Indexing
4. Spatial Query Processing
5. Continuous kNN Queries

Module Description:

1. Network Module

Client-server computing or networking is a distributed application architecture that partitions tasks or workloads between service providers (servers) and service requesters, called clients. Often clients and servers operate over a computer network on separate hardware. A server m..............etc

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LOCATION BASED SPATIAL QUERY PROCESSING IN WIRELESS BROADCAST ENVIRONMENTS-MOBILE COMPUTING

Abstract: Location-based spatial queries (LBSQ s) refer to spatial queries whose answers rely on the location of the inquirer. Efficient processing of LBSQ s is of critical importance with the ever-increasing deployment and use of mobile technologies. We show that LBSQ s has certain unique characteristics that the traditional spatial query processing in centralized databases does not address. For example, a significant challenge is presented by wirel..............etc

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On-line Analytical Processing (OLAP) has become a fundamental component of contemporary decision support systems and represents a means by which knowledge workers can efficiently analyze vast amounts of organizational data. Within the OLAP context, one of the more interesting recent themes has been the computation and manipulation of the data cube, a relational model that can be used to represent summarized multi-dimensional views of massive data warehousing archives.

Over the past five or six years a number of efficient sequential algo..............etc

[:=Read Full Message Here=:]