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2015 – 2016 Final Year Projects | Data Mining

2015 – 2016 Final Year Projects :: Data Mining- Titles & Abstracts


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2015 – 2016 Final Year Projects :: Data Mining

ETPL DM-001

Efficient Algorithms for Mining the Concise and Lossless Representation of High Utility Item sets

ETPL DM-002

A Set of Complexity Measures Designed for Applying Meta-Learning to Instance Selection

ETPL DM-003

k-Nearest Neighbor Classification over Semantically Secure Encrypted Relational Data

ETPL DM-004

Top-k Similarity Join in Heterogeneous Information Networks

ETPL DM-005

A Similarity-Based Learning Algorithm Using Distance Transformation

ETPL DM-006

Pattern-based Topics for Document Modelling in Information Filtering

ETPL DM-007

Active Learning for Ranking through Expected Loss Optimization

ETPL DM-008

Relational Collaborative Topic Regression for Recommender Systems

ETPL DM-009

Relevance Feature Discovery for Text Mining

ETPL DM-010

Review Selection Using Micro-Reviews

ETPL DM-011

Mining Partially-Ordered Sequential Rules Common to Multiple Sequences

ETPL DM-012

Backward Path Growth for Efficient Mobile Sequential Recommendation

ETPL DM-013

Co-Extracting Opinion Targets and Opinion Words from Online Reviews Based on the Word Alignment Model

ETPL DM-014

Global Redundancy Minimization for Feature Ranking

ETPL DM-015

Goldstrike 1: CoinTerra’s First-Generation Cryptocurrency Mining Processor for Bitcoin

ETPL DM-016

Performance Analysis and Validation of Waterline Extraction Approaches Using Single- and Dual-Polarimetric SAR Data

ETPL DM-017

Integrating Big Data: A Semantic Extract-Transform-Load Framework

ETPL DM-018

Multiple-Time-Series Clinical Data Processing for Classification With Merging Algorithm and Statistical Measures

ETPL DM-019

Just-in-time interactive analytics: Guiding visual exploration of data

ETPL DM-020

Graph-Based Supervised Automatic Target Detection

ETPL DM-021

Towards Effective Bug Triage with Software Data Reduction Techniques

ETPL DM-022

Network-Based Modeling and Intelligent Data Mining of Social Media for Improving Care

ETPL DM-023

Real-time mining of epileptic seizure precursors via nonlinear mapping and dissimilarity features

ETPL DM-024

k-Nearest Neighbor Classification over Semantically Secure Encrypted Relational Data

ETPL DM-025

Top-k Similarity Join in Heterogeneous Information Networks

ETPL DM-026

RANWAR: Rank-Based Weighted Association Rule Mining From Gene Expression and Methylation Data

ETPL DM-027

A New Method for Data Stream Mining Based on the Misclassification Error

ETPL DM-028

Active Learning for Ranking through Expected Loss Optimization

ETPL DM-028

Active Learning for Ranking through Expected Loss Optimization

ETPL DM-029

Active Learning for Ranking through Expected Loss Optimization

ETPL DM-030

Relevance Feature Discovery for Text Mining

ETPL DM-031

Multitask TSK Fuzzy System Modeling by Mining Intertask Common Hidden Structure

ETPL DM-032

Backward Path Growth for Efficient Mobile Sequential Recommendation

ETPL DM-033

Global Redundancy Minimization for Feature Ranking

ETPL DM-034

Global Redundancy Minimization for Feature Ranking

ETPL DM-035

Secure k -NN Classification over Semantically Secure Encrypted Relational Data

ETPL DM-036

Time-Series Classification with COTE: The Collective of Transformation-Based Ensembles

ETPL DM-037

Boosting Response Aware Model-Based Collaborative Filtering

ETPL DM-038

PruDent: A Pruned and Confident Stacking Approach for Multi-label Classification

ETPL DM-039

Differentially Private Frequent Itemset Mining via Transaction Splitting

ETPL DM-040

A Critical-time-point Approach to All-departure-time Lagrangian Shortest Paths

ETPL DM-041

Integrating Human Behavior Modeling and Data Mining Techniques to Predict Human Errors in Numerical Typing

ETPL DM-042

Network-Based Modeling and Intelligent Data Mining of Social Media for Improving Care

ETPL DM-043

A Novel Data-Mining Approach Leveraging Social Media to Monitor Consumer Opinion of Sitagliptin

ETPL DM-044

Fast HEVC Encoding Decisions Using Data Mining

ETPL DM-045

Raw Wind Data Preprocessing: A Data-Mining Approach

ETPL DM-046

Effective Classification using a small Training Set based on Discretization and Statistical Analysis

ETPL DM-047

PPDM: Privacy-preserving Protocol for Dynamic Medical Text Mining and Image Feature Extraction from Secure Data
Aggregation in Cloud-assisted e-Healthcare

ETPL DM-048

An Internal Intrusion Detection and Protection System by Using Data Mining and Forensic Techniques

ETPL DM-049

Machine Learning for Predictive Maintenance: A Multiple Classifier Approach

ETPL DM-050

Predicting Location-Based Sequential Purchasing Events by Using Spatial, Temporal, and Social Patterns

ETPL DM-051

CPCDN: Content Delivery Powered by Context and User Intelligence

ETPL DM-052

A New Method for Data Stream Mining Based on the Misclassification Error

ETPL DM-053

Pattern-Aided Regression Modeling and Prediction Model Analysis

ETPL DM-054

Fine-Grained Knowledge Sharing in Collaborative Environments

ETPL DM-055

CRoM and HuspExt: Improving Efficiency of High Utility Sequential Pattern Extraction

ETPL DM-056

Keyword Extraction and Clustering for Document Recommendation in Conversations

june, 2018

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Get it Now! 5000+ IEEE Project Lists

Elysium feels proud in building strategic long-term relationships with the clients across worldwide. We believe that the best solutions evolve from the collaborative relationships with our clients. As a global consultant, we work closely with the clients to understand their unique business transformation goals, design best-in-class solutions and devise the most efficient plan for implementing their strategy across the organization.

Our ETPL is renowned for our reputed services in offering real time projects for the students of engineering and science stream. Our prime motto is to fulfill the needs of the students in every aspect of our work. We also extend our guidance services to the research scholars.

  • No.1 : Project Leader in India
  • 1,00,000 Sucessive Stories
  • 100% Satisfaction
  • 100% Privacy
  • 5000+ IEEE Project Titles
  • Qualified Staff Members
  • 24/7 Help Desk Support
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