ieee data mining projects coimbatore

Why Data Mining Projects ?

Data mining is a cornerstone of analytics, helping you develop the models that can uncover connections within millions or billions of records. Data mining is the process of sorting through large data sets to identify patterns and establish relationships to solve problems through data analysis. Data mining tools allow enterprises to predict future trends. Data mining is the process of finding anomalies, patterns and correlations within large data sets to predict outcomes. Using a broad range of techniques, you can use this information to increase revenues, cut costs, improve customer relationships, reduce risks and more. Here is the list of important areas where data mining is widely used : Future Healthcare , Market Basket Analysis , Education , Manufacturing Engineering , Customer Relationship Management , Fraud Detection , Intrusion Detection , Customer Segmentation , Financial Banking , Corporate Surveillance , Research Analysis , Criminal Investigation and Bio Informatics.

Latest 2018 Data Mining Projects Titles

Project Code Project Title
DM2018001 Exploring Hierarchical Structures for Recommender Systems
DM2018002 Longest Increasing Subsequence Computation over Streaming Sequences
DM2018003 Multi-instance Learning with Discriminative Bag Mapping
DM2018004 Multi-Label Learning with Global and Local Label Correlation
DM2018005 Profit Maximization for Viral Marketing in Online Social Networks: Algorithms and Analysis
DM2018006 Range Queries on Multi-Attribute Trajectories
DM2018007 RNN-DBSCAN: A Density-based Clustering Algorithm using Reverse Nearest Neighbor Density Estimates
DM2018008 Scalable Content-Aware Collaborative Filtering for Location Recommendation
DM2018009 Space Filling Approach for Distributed Processing of Top-k Dominating Queries
DM2018010 Structure Based User Identification across Social Networks
DM2018011 Supervised Topic Modeling using Hierarchical Dirichlet Process-based Inverse Regression: Experiments on E-Commerce Applications
DM2018012 Heterogeneous Metric Learning of Categorical Data with Hierarchical Couplings
DM2018013 A Comprehensive Study on Social Network Mental Disorders Detection via Online Social Media Mining
DM2018014 Heterogeneous Metric Learning of Categorical Data with Hierarchical Couplings
DM2018015 Leveraging Conceptualization for Short-Text Embedding
DM2018016 Multi-View Missing Data Completion
DM2018017 Road Traffic Speed Prediction: A Probabilistic Model Fusing Multi-Source Data
DM2018018 Sampling and Reconstruction Using Bloom Filters
DM2018019 A Deep Learning-Based Data Minimization Algorithm for Fast and Secure Transfer of Big Genomic Datasets
DM2018020 A Fast Parallel Community Discovery Model on Complex Networks Through Approximate Optimization
DM2018021 A Survey of Location Prediction on Twitter
DM2018022 A Two-Phase Algorithm for Differentially Private Frequent Subgraph Mining
DM2018023 AMDO: an Over-Sampling Technique for Multi-Class Imbalanced Problems
DM2018024 Capturing the Spatiotemporal Evolution in Road Traffic Networks
DM2018025 CRAFTER: a Tree-ensemble Clustering Algorithm for Static Datasets with Mixed Attributes and High Dimensionality
DM2018026 Health Monitoring on Social Media over Time
DM2018027 Link Weight Prediction Using Supervised Learning Methods and Its Application to Yelp Layered Network
DM2018028 Making a Small World Smaller: Path Optimization in Networks
DM2018029 On Generalizing Collective Spatial Keyword Queries
DM2018030 On Power Law Growth of Social Networks
DM2018031 Privacy Characterization and Quantification in Data Publishing
DM2018032 Privacy Enhanced Matrix Factorization for Recommendation with Local Differential Privacy
DM2018033 Querying a Collection of Continuous FunctionsUnsupervised Coupled Metric Similarity for Non-IID Categorical Data

Recent 2017 Data Mining Projects Titles

Project Code Project Title
DM2017001 An Efficient Indexing Method for Skyline Computations with Partially Ordered Domains
DM2017002 Bag-of-Discriminative-Words (BoDW) Representation via Topic Modeling
DM2017003 Continuous Top-k Monitoring on Document Streams
DM2017004 Dynamic Facet Ordering for Faceted Product Search Engines
DM2017005 Efficient Processing of Skyline Queries Using MapReduce
DM2017006 Spectral Ensemble Clustering via Weighted K-means: Theoretical and Practical Evidence
DM2017007 A Scalable Data Chunk Similarity based Compression Approach for Efficient Big Sensing Data Processing on Cloud
DM2017008 A Unified Framework for Metric Transfer Learning
DM2017009 Analyzing Sentiments in One Go: A Supervised Joint Topic Modeling Approach
DM2017010 Data-driven Answer Selection in Community QA Systems
DM2017011 Efficient Top-k Dominating Computation on Massive Data
DM2017012 Keyword Search over Distributed Graphs with Compressed Signature
DM2017013 Modeling and Learning Continuous Word Embedding with Metadata for Question Retrieval
DM2017014 Online Multi-Task Learning Framework for Ensemble Forecasting
DM2017015 RAPARE A Generic Strategy for Cold-Start Rating Prediction Problem
DM2017016 Search Rank Fraud and Malware Detection in Google Play
DM2017017 User Vitality Ranking and Prediction in Social Networking Services a Dynamic Network Perspective
DM2017018 Bayesian Nonparametric Relational Topic Model through Dependent Gamma Processes
DM2017019 Collaboratively Training Sentiment Classifiers for Multiple Domains
DM2017020 Crowdsourced Coverage as a Service Two-Level Composition of Sensor Cloud Service
DM2017021 Discovering Newsworthy Themes From Sequenced Data A Step Towards Computational Journalism
DM2017022 Energy-efficient Query Processing in Web Search Engines
DM2017023 Engagement dynamics and sensitivity analysis of YouTube video
DM2017024 Enhancing Binary Classification by Modeling Uncertain Boundary in Three-Way Decisions
DM2017025 Human-Powered Data Cleaning for Probabilistic Reachability Queries on Uncertain Graphs
DM2017026 Local Suppression and Splitting Techniques for Privacy Preserving Publication of Trajectories
DM2017027 On Spectral Analysis of Signed and Dispute Graphs Application to Community Structure
DM2017028 Online Transfer Learning with Multiple Homogeneous or Heterogeneous Sources
DM2017029 Personal Web Revisitation by Context and Content Keywords with Relevance Feedback
DM2017030 Profiling Entities over Time in the Presence of Unreliable Sources
DM2017031 Query Expansion Folksonomy Data
DM2017032 Sparse Poisson Latent Block Model for Document Clustering