helloo i am sandhya Prasad. I belong to jharkhand,i have completed b.com from vinobha bhave univ.,10th from cbse board and 12th from jharkhand univ.,and now i am persuing mca from rajhasthan college of engineering with aggrigate 69% marks.



i want source code for decision tree for uncertain data
please send source code for decision tree for uncertain data. ....etc

[:=Read Full Message Here=:]

ppt for efficient computation of range aggregates against uncertain location based queries..
base paper and reference for this project also..
ppt for efficient computation of range aggregates against uncertain location based queries..
base paper and reference for this project also.. ....etc

[:=Read Full Message Here=:]

Abstract

Traditional decision tree classifiers work with data whose values are known and precise. We extend such classifiers to handle data with uncertain information. Value uncertainty arises in many applications during the data collection process. Example sources of uncertainty include measurement/quantization errors, data staleness, and multiple repeated measurements. With uncertainty, the value of a data item is often represented not by one single value, but by multiple values forming a probability distribution. Rather than abstracting unc ....etc

[:=Read Full Message Here=:]

I am doing the project on decision tree for uncertain data.can you please tell me the future enhancements to this paper. ....etc

[:=Read Full Message Here=:]

what are the distributed based algorithms used in the decision ....etc

[:=Read Full Message Here=:]

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

[:=Read Full Message Here=:]

I need some project details for the topicPrivacy preserving decision tree for uncertain data in dotnet pls assist me ....etc

[:=Read Full Message Here=:]

Decision Trees

Basics of Decision Trees

A flow-chart-like hierarchical tree structure
Often restricted to a binary structure
Root: represents the entire dataset
A node without children is called a leaf node. Otherwise is called an internal node.
Internal nodes: denote a test on an attribute
Branch (split): represents an outcome of the test
Univariate split (based on a single attribute)
Multivariate split
Leaf nodes: represent class labels or class distribution

Most decision tree generation consists ....etc

[:=Read Full Message Here=:]

Classification is a classical problem in machine learning
and data mining. Given a set of training data tuples, each
having a class label and being represented by a feature vector,
the task is to algorithmically build a model that predicts
the class label of an unseen test tuple based on the tuple s
feature vector. One of the most popular classification models
is the decision tree model. Decisions trees are popular because
they are practical and easy to understand. Rules can also be
extracted from decision trees easily. Many algorithms ....etc

[:=Read Full Message Here=:]

In recent years, a number of indirect data collection methodologies have led to the proliferation of uncertain data. Such databases are much more complex because of the additional challenges of representing the probabilistic information. In this paper, we provide a survey of uncertain data mining and management applications. We will explore the various models utilized for uncertain data representation. In the field of uncertain data management, we will examine traditional database management methods such as join processing, query processing, se ....etc

[:=Read Full Message Here=:]