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Title: future enhancements to decision tree for uncertain data
Page Link: future enhancements to decision tree for uncertain data -
Posted By: Tushar
Created at: Thursday 05th of October 2017 03:56:29 AM
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I am doing the project on decision tree for uncertain data.can you please tell me the future enhancements to this paper. ....etc

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Title: algorithms used for decision trees for uncertain data ppt
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Posted By: lipi
Created at: Thursday 17th of August 2017 07:59:47 AM
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Title: Privacy preserving decision tree for uncertain data in dotnet
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Posted By: shantanu
Created at: Thursday 05th of October 2017 04:02:53 AM
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Title: decision tree for uncertain data java source code download
Page Link: decision tree for uncertain data java source code download -
Posted By: sruthy
Created at: Thursday 05th of October 2017 05:27:58 AM
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Title: A Survey of Uncertain Data Algorithms and Applications
Page Link: A Survey of Uncertain Data Algorithms and Applications -
Posted By: lipika
Created at: Thursday 05th of October 2017 04:59:11 AM
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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

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Title: Data Warehouses Decision Support and Data Mining
Page Link: Data Warehouses Decision Support and Data Mining -
Posted By: jasmin
Created at: Thursday 17th of August 2017 08:29:16 AM
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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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Title: decision tree for uncertain data project using algorithm ppt
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Posted By: sabarish
Created at: Thursday 17th of August 2017 04:44:05 AM
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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

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Title: ppt for efficient computation of range aggregates against uncertain location based q
Page Link: ppt for efficient computation of range aggregates against uncertain location based q -
Posted By: shabas992
Created at: Friday 06th of October 2017 03:06:54 PM
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base paper and reference for this project also..
ppt for efficient computation of range aggregates against uncertain location based queries..
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Title: decision tree for uncertain data ppt download
Page Link: decision tree for uncertain data ppt download -
Posted By: kadi
Created at: Thursday 17th of August 2017 05:43:03 AM
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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

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Title: Decision Trees
Page Link: Decision Trees -
Posted By: [email protected]
Created at: Thursday 17th of August 2017 06:35:49 AM
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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

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