ppt of ranking spatial data by quality preferences ....etc

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hello sir,
my name is vineetha n im doing btech 4th year.as my project is going on n i request you to post me ppts of ranking spatial data by quality preferences.. ....etc

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Storing and Indexing Spatial Data in P2P Systems about datamining ....etc

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Hai, I am M.Murali Krishna pursuing M.Tech. I want documentation and the code for the topic Ranking Spatial Data by Quality Preferences. ....etc

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To support the retrieval, fusion and discovery of visual/multimedia information, a spatial query language for multiple data sources is needed. In this paper we describe a spatial query language interpreter which is based upon the a-operator sequence and in practice expressible in an SQL-like syntax. The algorithm for the a-query translator is explored in detail. The implementation of the algorithm including data structures, pseudo-codes and source codes in C is presented. Query examples handled successfully by the a-query implementation are als ....etc

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i require ppt on ranking spatial data by quality prefrences for a seminars.

Preeti singh
final year BE(CS) student ....etc

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Helo sir,

I Swetha doing My project on Ranking spatial data by quality preferences.. and i need Details About ranking of spatial data using quality preferences in medicine .. would you please help me out sir....
-Thank you. ....etc

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Abstract
Owing to the GIS technology, a vast volume ofspatial data has been accumulated, therebyincurring the necessity of spatial data miningtechniques. In this paper, we propose a new spatialdata mining system named SD-Miner. SD-Minerconsists of three parts: a graphical user interface forinputs and outputs, a data mining module thatprocesses spatial data mining functionalities, a datastorage model that stores and manages spatial aswell as non-spatial data by using a DBMS. Inparticular, the data mining module provides majorspatial dat ....etc

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i want storing and indexing spatial data in p2p systems ieee project documentation and ppt
....etc

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Abstract: Spatial data mining algorithms heavily depend on the efficient processing of neighborhood
relations since the neighbors of many objects have to be investigated in a single run of a typical
algorithm. Therefore, providing general concepts for neighborhood relations as well as an efficient
implementation of these concepts will allow a tight integration of spatial data mining algorithms
with a spatial database management system. This will speed up both, the development and
the execution of spatial data mining algorithms. In ....etc

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