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E2MATRIX
www.e2matrix.com
+91-97793-63902, +91-90412-62727, +91-75085-09709
Data Mining List
1) Green vs. Non-Green Customer Behavior: A Self-Organizing Time Map over Greenness
2) Application of Bayesian Network Sheds Light on Purchase Decision Process Basing on
RFID Technology
3) A Distinguishing Attack with a Neural Network
4) Classifying Spam Emails Using Text and Readability Features
5) PerturBoost: Practical Confidential Classifier Learning in the Cloud
6) Combining Semi-Supervised and active learning for hyperspectral image classification
7) Web product ranking using opinion mining
8) E-mail address categorization based on semantics of surnames
9) Using Eye-Tracking Data of Advertisement Viewing Behavior to Predict Customer
Churn
10) Simulated Annealing Partitioning: An Algorithm for Optimizing Grouping in Cancer
Data
11) Evaluation and Comparison of Classification Techniques for Network Intrusion
Detection
12) Accelerating Frequent Itemsets Mining on the Cloud: A MapReduce -Based Approach
13) Adaptive Budget for Online Learning
14) A novel fuzzy classification to enhance software regression testing
15) Performance Analysis of Naive Bayes and J48 Classification Algorithm for Data
Classification
16) An Effective Network Traffic Classification Method with Unknown Flow Detection
17) Evaluation and Comparison of Classification Techniques for Network Intrusion
Detection
18) A Study of Detection of Lung Cancer Using Data Mining Classification Techniques
19) Classification via clustering for predicting final marks based on student participation in
forums
20) An Internet Traffic Classification Method Based on Semi-Supervised Support Vector
Machine
21) An Implementation of Efficient Data Mining Classification Algorithm using Nbtree
22) Providing a customer churn prediction model Using Random Forest technique
23) Analyzing Association Rule Mining and Clustering on Sales Day Data with XLMiner and
Weka
24) Analysis of Various Clustering Algorithms
25) Efficient k-means clustering algorithm using ranking method in data mining
26) Cluster Analysis in Data Mining using K-Means Method
27) Hybrid Clustering Algorithm with Modifications Enhanced K-Means and Hierarchal
Clustering
28) Mining for High Performance Data Cloud using Association Rule Mining
29) Research on Data Mining Models for the Internet of Things
30) Neural networks in data mining
31) Census Data Mining and Data Analysis using WEKA
32) Unsupervised Feature Selection for the k-means Clustering Problem
33) Effective Feature Selection for High Dimensional Data using Fast Algorithm
34) A Survey on Feature Selection Algorithm for High Dimensional Data Using Fuzzy Logic
35) Accelerating Frequent Itemsets Mining on the Cloud: A MapReduce -Based Approach
36) Cloud Based Predictive Analytics: Text Classification, Recommender Systems and
Decision Support
37) Comparative Study on Email Spam Classifier using Data Mining Techniques
38) A Study on Analysis of SMS Classification Using Document Frequency Threshold
39) Analyze Market Basket Data using FP-growth and Apriori Algorithm
40) Study on Application of Apriori Algorithm in Data Mining
41) Performance Comparison of Hard and Fuzzy Clustering Algorithms on ESTs of Human
Genes
42) Data Mining for High Performance Data Cloud using Association Rule Mining
43) The Strategy of Mining Association Rule Based on Cloud Computing
44) Disease Forecasting System Using Data Mining Methods
45) Comparison of A Time Efficient Modified K-mean Algorithm with K-Mean and K-
Medoid algorithm
46) Unvisited URL Relevancy Calculation in Focused Crawling Based on Naïve Bayesian
Classification
47) Sentiment Analysis and Classification Based On Textual Reviews
48) The Integrating Between Web Usage Mining and Data Mining Techniques
49) Pattern Discovery and Users Classification Through Web Usage Mining
50) Privacy Preserving Data Mining Techniques: Current Scenario and Future Prospects
51) Evaluation and Comparison of Classification Techniques for Network Intrusion
Detection
52) An Effective Network Traffic Classification Method with Unknown Flow Detection
53) Dynamic Secure Cloud Creation for Frequent Pattern Mining and Association
54) Secure cloud mining using enhanced Random forest
55) A Survey of Association Rule Hiding Algorithms
56) A Novel Approach for Efficient Mining and Hiding of Sensitive Association Rule
57) Hiding Sensitive Association Rules to Maintain Privacy and Data Quality in Database
58) Web log mining using Association rule mining
59) Sentiment Analysis of Movie Reviews
60) A New Edit Distance Method for Finding Similarity in DNA Sequence

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BE/ ME / MTech / BTech Computer Engineering Project titles IEEE 2014 IEEE 2015

  • 1.
  • 2. E2MATRIX www.e2matrix.com +91-97793-63902, +91-90412-62727, +91-75085-09709 Data Mining List 1) Green vs. Non-Green Customer Behavior: A Self-Organizing Time Map over Greenness 2) Application of Bayesian Network Sheds Light on Purchase Decision Process Basing on RFID Technology 3) A Distinguishing Attack with a Neural Network 4) Classifying Spam Emails Using Text and Readability Features 5) PerturBoost: Practical Confidential Classifier Learning in the Cloud 6) Combining Semi-Supervised and active learning for hyperspectral image classification 7) Web product ranking using opinion mining 8) E-mail address categorization based on semantics of surnames 9) Using Eye-Tracking Data of Advertisement Viewing Behavior to Predict Customer Churn 10) Simulated Annealing Partitioning: An Algorithm for Optimizing Grouping in Cancer Data 11) Evaluation and Comparison of Classification Techniques for Network Intrusion Detection 12) Accelerating Frequent Itemsets Mining on the Cloud: A MapReduce -Based Approach 13) Adaptive Budget for Online Learning 14) A novel fuzzy classification to enhance software regression testing 15) Performance Analysis of Naive Bayes and J48 Classification Algorithm for Data Classification 16) An Effective Network Traffic Classification Method with Unknown Flow Detection 17) Evaluation and Comparison of Classification Techniques for Network Intrusion Detection 18) A Study of Detection of Lung Cancer Using Data Mining Classification Techniques 19) Classification via clustering for predicting final marks based on student participation in forums
  • 3. 20) An Internet Traffic Classification Method Based on Semi-Supervised Support Vector Machine 21) An Implementation of Efficient Data Mining Classification Algorithm using Nbtree 22) Providing a customer churn prediction model Using Random Forest technique 23) Analyzing Association Rule Mining and Clustering on Sales Day Data with XLMiner and Weka 24) Analysis of Various Clustering Algorithms 25) Efficient k-means clustering algorithm using ranking method in data mining 26) Cluster Analysis in Data Mining using K-Means Method 27) Hybrid Clustering Algorithm with Modifications Enhanced K-Means and Hierarchal Clustering 28) Mining for High Performance Data Cloud using Association Rule Mining 29) Research on Data Mining Models for the Internet of Things 30) Neural networks in data mining 31) Census Data Mining and Data Analysis using WEKA 32) Unsupervised Feature Selection for the k-means Clustering Problem 33) Effective Feature Selection for High Dimensional Data using Fast Algorithm 34) A Survey on Feature Selection Algorithm for High Dimensional Data Using Fuzzy Logic 35) Accelerating Frequent Itemsets Mining on the Cloud: A MapReduce -Based Approach 36) Cloud Based Predictive Analytics: Text Classification, Recommender Systems and Decision Support 37) Comparative Study on Email Spam Classifier using Data Mining Techniques 38) A Study on Analysis of SMS Classification Using Document Frequency Threshold 39) Analyze Market Basket Data using FP-growth and Apriori Algorithm 40) Study on Application of Apriori Algorithm in Data Mining 41) Performance Comparison of Hard and Fuzzy Clustering Algorithms on ESTs of Human Genes 42) Data Mining for High Performance Data Cloud using Association Rule Mining 43) The Strategy of Mining Association Rule Based on Cloud Computing 44) Disease Forecasting System Using Data Mining Methods
  • 4. 45) Comparison of A Time Efficient Modified K-mean Algorithm with K-Mean and K- Medoid algorithm 46) Unvisited URL Relevancy Calculation in Focused Crawling Based on Naïve Bayesian Classification 47) Sentiment Analysis and Classification Based On Textual Reviews 48) The Integrating Between Web Usage Mining and Data Mining Techniques 49) Pattern Discovery and Users Classification Through Web Usage Mining 50) Privacy Preserving Data Mining Techniques: Current Scenario and Future Prospects 51) Evaluation and Comparison of Classification Techniques for Network Intrusion Detection 52) An Effective Network Traffic Classification Method with Unknown Flow Detection 53) Dynamic Secure Cloud Creation for Frequent Pattern Mining and Association 54) Secure cloud mining using enhanced Random forest 55) A Survey of Association Rule Hiding Algorithms 56) A Novel Approach for Efficient Mining and Hiding of Sensitive Association Rule 57) Hiding Sensitive Association Rules to Maintain Privacy and Data Quality in Database 58) Web log mining using Association rule mining 59) Sentiment Analysis of Movie Reviews 60) A New Edit Distance Method for Finding Similarity in DNA Sequence