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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Spatial Data Query Support in Peer-to-Peer Systems



Motivation


Spatial data sets are used for many applications, e.g., GIS, CAD, …
P2P systems provide a distributed platform that is very scalable.
Pros:
Scalability, no central point of failure
Cons:
Very dynamic (unreliable), topology maintenance required


Distributed Hash Tables (DHT)


DHT systems: Content Addressable Network (CAN), Chord, Pastry, etc.
Using DHT to allocate large da ....etc

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i want any data mining project abstracts.it should be easy and intresting... ....etc

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Data Mining with Neural Networks and Genetic Algorithms
General Strategy
• Train Neural Network with representative data
• Use Genetic Algorithm to generate rule sets
• Evaluate performance of the rule sets
Training the Neural Network
• Only constraint on topology is that it must have the same number of inputs as categories (e.g., cap-shape, cap-surface, etc.) and the same number of outputs as classes (e.g., poisonous or edible)
• 3-layer perceptron appears to be model used for experiment with 7 ....etc

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Packet Scheduling Algorithms to Support QOS in Networks.

Traditionally packet switching networks have supported only best-effort traffic. Newer applications need communication services that allow end clients to transport data with performance guarantees given in terms of delay, delay variation, bandwidth, and loss rate. The choice of the packet scheduling algorithm to be used at switching nodes is very crucial to provide the quality of service.

We have conducted a literature survey covering various scheduling disciplines that can b ....etc

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Traditionally packet switching networks have supported only best-effort traffic. Newer applications need communication services that allow end clients to transport data with performance guarantees given in terms of delay, delay variation, bandwidth, and loss rate. The choice of the packet scheduling algorithm to be used at switching nodes is very crucial to provide the quality of service.
We have conducted a literature survey covering various scheduling disciplines that can be used to provide performance guarantees to clien ....etc

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Abstract—Discriminative patterns can provide valuable insights into data sets with class labels, that may not be available from the individual features or the predictive models built using them. Most existing approaches work efficiently for sparse or low-dimensional data sets. However, for dense and high-dimensional data sets, they have to use high thresholds to produce the complete results within limited time, and thus, may miss interesting low-support patterns. In this paper, we address the necessity of trading off the completeness of disc ....etc

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Data Warehouses, Decision Support and Data Mining

A Data Warehouse is a subject-oriented,integrated,time-variant,non-volatile collection of data used in support of management decision making processes.

Subject-Oriented:-
The data warehouse is organized around the key subjects (or high-level entities) of the enterprise.

Major subjects include
a) Customers
b) Patients
c) Students
d) Products
e) Etc.

Data support :-

Stored collection of diverse data
A solution to data integration problem
Single repository of information
Sub ....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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HI THIS IS RAJSHREE LANDE STUDING IN FINAL YEAR FROM ANURADHA COLLEGE OF ENGINEERING...
I WANT A PPTS FOR DATA MINIG AND DATA WAREHOUSING....
I SEARCHING BASICS ON DATA MING AND DATA WAREHOUSING...
BUT I CONFUSE WHAT SHOULD BE ACTUAALY ADD IN THAT TOPIC
WHAT PONTS SHOULD BE THERE...
WHAT ARE THE IMPORTANT TOPICS.....
AND I WANT A DEATIL DESCRIPTION ON THIS TOPICS
IF U GET A IDEAS ON THIS TOPIC PLZ UPLOAD AS SOON AS POSSIBLE.....
WATING FOR SOON RPY.......

RAJSH ....etc

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