www.phdtopic.com/weka-projects/
WEKA
PROJECTS
2
Hereby we have listed down the recent titles for Weka projects,
VIVACIOUS CONCEPTS IN WEKA PROJECTS
1
Breast Cancer Prediction in Blood Test
Datasets
2
Texture Based Classification in Resolution
Computed Tomography Thorax Images
3
Keystroke Dynamics Authentication for
Strong Password Analysis
4
Vegetation Indices Based Segmentation
for Brown Spot and Blast Diseases
Motion Data from Android Smartphone for
Behavioral Biometrics
5
Portable Thumb
Training System
for Thumb
Posture EMG
Feature Selection
Technique for
Cardiovascular
Disease Prognosis
Machine Learning
Classifiers for
Indoor Person
Localization
Fault Location in
Decision Trees
and Optimized
Allocation
Predict Brest
Cancer Surgery
Survivability Using
Bayesian Network
Twitter Streaming
Dataset for Evaluate
Mahout Clustering
Algorithms
NOTABLE SUBJECTS IN WEKA PROJECTS
Let us discuss about the advanced research topics in Weka projects,
1 2 3
4 5 6
4
Data preprocessing
using range of filters
1
2
3
4
5
Learning parameters
optimization in data mining
Data clustering and
classification
Very large datasets
processing
Executing and constructing
knowledge flows
EFFECTIVE NOTIONS IN WEKA PROJECTS
The significant Weka project ideas are highlighted below,
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Weka Projects

  • 1.
  • 2.
    2 Hereby we havelisted down the recent titles for Weka projects, VIVACIOUS CONCEPTS IN WEKA PROJECTS 1 Breast Cancer Prediction in Blood Test Datasets 2 Texture Based Classification in Resolution Computed Tomography Thorax Images 3 Keystroke Dynamics Authentication for Strong Password Analysis 4 Vegetation Indices Based Segmentation for Brown Spot and Blast Diseases Motion Data from Android Smartphone for Behavioral Biometrics 5
  • 3.
    Portable Thumb Training System forThumb Posture EMG Feature Selection Technique for Cardiovascular Disease Prognosis Machine Learning Classifiers for Indoor Person Localization Fault Location in Decision Trees and Optimized Allocation Predict Brest Cancer Surgery Survivability Using Bayesian Network Twitter Streaming Dataset for Evaluate Mahout Clustering Algorithms NOTABLE SUBJECTS IN WEKA PROJECTS Let us discuss about the advanced research topics in Weka projects, 1 2 3 4 5 6
  • 4.
    4 Data preprocessing using rangeof filters 1 2 3 4 5 Learning parameters optimization in data mining Data clustering and classification Very large datasets processing Executing and constructing knowledge flows EFFECTIVE NOTIONS IN WEKA PROJECTS The significant Weka project ideas are highlighted below,
  • 5.