Fragmentation Of Dynamic Web Pages
ABSTRACT

Redundant data transfers over the web can be mainly attributed to repeated transfers of unchanged data. Web caches and web proxies are some of the solutions that have been proposed, to deal with the issue of redundant data transfers. We focus on the efficient estimation and reduction of redundant data transfers over the web.

Constructing Web pages that change over time such as news or information broadcast websites by observing changes in fragments of the web pages has been shown to provid ....etc

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Cellular Digital Packet Data

Abstract :

Cellular Digital Packet Data is a technique, which is applicable over cellular network for quick transfer of data. It is applicable in providing a quick transfer of data over cellular networks. It transmits the packets over the cellular network in a reliable manner. Packet networks break a stream of data in to independent blocks of data called the packets. CDPD is wirelesses IP network that overlay on the existing AMPS cellular infrastructure. The CDPD raw channel modulation user rate is 19.2 kbps ....etc

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Data Compression

Abstract :

It is very interesting that data can be compressed because it insinuates that information that we generally pass on to each other can be said in shorter information units (infos). Instead of saying Ëœyesâ„¢ a simple nod can do the same work, but by transmitting lesser data. In his 1948 paper, A Mathematical Theory of Communication, Shannon established that there is a fundamental limit to lossless data compression. This limit, called the entropy rate, is denoted by H. The exact value of H depends on the ....etc

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ABSTRACT
Machine health monitoring is of critical importance to its safe and reliable operation. The emergence of wireless data transmission techniques has extended the Scope of health monitoring to machine components and systems that are difficult to accessor not suited for wired sensor data acquisition .this paper presents the design and prototype realization of a digital wireless data transmitter based on the CDMA technique.
The design provides a generic solution for various applications ....etc

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Data Mining Applications In E-Commerce

Abstract :

E-commerce domain can provide all the right ingredients for successful data mining and claim that it is a killer domain for data mining. With the proliferation of the electronic commerce e-purchasing has become a daily practice for many purchasing organizations. Data mining has been used in e-commerce for some time already. It has many applications in this field such as: searching for patterns in transactional data, preparation of personalization applications, etc. . However, before t ....etc

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Data Sharing Among Mobile Users

Abstract :

Applications that rely on replicated data have different requirements for how their data is managed. For example, some applications may require that updates propagate amongst replicas with tight time constraints, whereas other applications may be able to tolerate longer propagation delays. Some applications only require replicas to interoperate with a few centralized replicas for data synchronization purposes, while other applications need communication between arbitrary replicas. Similarly, th ....etc

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Nowadays, SECURITY become a more sensible issue either it may be in the REAL WORLD or in the CYBER WORLD. As citizens are using network for banking, shopping, filing their tax returns and other purposes, network security is looming on the horizon as a potentially massive problem.

Data security involves not only protection, but also detecting offends of secured communication and attacks on the infrastructure, and then responding to these attacks. The main problems that occurred in network security are secrecy, authentication, non-repudiat ....etc

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SEMINAR REPORT
ON
DATA CLUSTERING

Submitted by

NITIN PAUL
Semester 7
Computer Science &Engineering
COLLEGE OF ENGINEERING TRIVANDRUM
2010

ABSTRACT



Data clustering also called Cluster Analysis, is defined as the unsupervised classification of data into various clusters. Webster defines cluster analysis as a statistical classification technique for discovering whether the individuals of a population fall into different groups by making quantitative com ....etc

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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 'intelligent' ....etc

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Nowadays, digital information is relatively easy to capture and fairly inexpensive to store. The digital revolution has seen collections of data grow in size, and the complexity of the data therein increase. Question commonly arising as a result of this state of affairs is, having gathered such quantities of data, what do we actually do with it? It is often the case that large collections of data, however well structured, conceal implicit patterns of information that cannot be readily detected by conventional analysis techniques. Such informat ....etc

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