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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: 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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Title: future enhancements to decision tree for uncertain data
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Posted By: Tushar
Created at: Thursday 05th of October 2017 03:56:29 AM
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Title: decision tree for uncertain data java source code download
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Posted By: sruthy
Created at: Thursday 05th of October 2017 05:27:58 AM
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Title: future enhancements for cloud data protection for masses
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Posted By: kavitha
Created at: Thursday 05th of October 2017 04:57:53 AM
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Title: future enhancements for ensuring data storage security in cloud computing
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Posted By: Vishal
Created at: Friday 06th of October 2017 03:03:04 PM
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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: future enhancements for online intrusion alert aggregation with generative data stre
Page Link: future enhancements for online intrusion alert aggregation with generative data stre -
Posted By: maxrock
Created at: Thursday 17th of August 2017 05:23:35 AM
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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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