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I am doing my final year project on meta search engine. I have designed the interface and made the query to redirect to the search engines...But don't know how to capture the links from the Search engines. Do we need any copyright permission from the search engines company to access the database or is there a possibility to extract the URL's freely???? How to capture the links and remove the redundant links and rank them.......


I am stuck up in the middle. please give me some ideas and help me how to proceed my pr ....etc

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i need ppt about this paper...genetic programming approach to record deduplication about existing and proposed ....etc

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Abstract
This paper focuses on the experimental investigation carried out on high strength concrete reinforced with hybrid fibres (combination
of hooked steel and a non-metallic fibre) up to a volume fraction of 0.5%. The mechanical properties, namely, compressive strength, split
tensile strength, flexural strength and flexural toughness were studied for concrete prepared using different hybrid fibre combinations –
steel–polypropylene, steel–polyester and steel–glass. The flexural properties were studied using four point ben ....etc

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ppt for meta data verification scheme for data auditing in cloud environment ....etc

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Many Universities and colleges provide facilites for searching their own WWW sites using a variety of different technologies and software packages. All these facilities have WWW interfaces. The project is to develop a meta search engine that will accept user requests, generate suitbaly formatted requests to the various engines, gather up the results and present them to the user in a consistent fashion ....etc

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Genetic programming (GP) is an automated methodology inspired by biological evolution to find computer programs that best perform a user-defined task. It is therefore a particular machine learning technique that uses an evolutionary algorithm to optimize a population of computer programs according to a fitness landscape determined by a program's ability to perform a given computational task. The first experiments with GP were reported by Stephen F. Smith (1980) and Nichael L. Cramer (1985), as described in the famous book Genetic Programming: O ....etc

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Genetic programming (GP) is an Automated Methodology

Genetic programming (GP) is an automated methodology inspired by biological evolution to find computer programs that best perform a user-defined task. It is therefore a particular machine learning technique that uses an evolutionary algorithm to optimize a population of computer programs according to a fitness landscape determined by a program's ability to perform a given computational task.

The first experiments with GP were reported by Steph ....etc

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Genetic programming (GP) is an automated methodology inspired by biological evolution to find computer programs that best perform a user-defined task. It is therefore a particular machine learning technique that uses an evolutionary algorithm to optimize a population of computer programs according to a fitness landscape determined by a program's ability to perform a given computational task. The first experiments with GP were reported by Stephen F. Smith (1980) and Nichael L. Cramer (1985), as described in the famous book Genetic Programming: O ....etc

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1. INTRODUCTION

In this section we present genetic programming, being the fourth member of the evolutionary algorithm family. Besides the particular representation (using trees as chromosomes) it differs from other EA strands in its application area. While the EAs are typically applied to optimization problems, GP could be rather positioned in machine learning. In terms of nature of this deferent problem types, most other EAs are used for finding some input realizing maximum payoff, whereas GP is used to seek models with maximum fit. Clear ....etc

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