Final Year Major Data Mining projects Vizag
BTECH MAJOR DATA Mining Projects
|1||A Hidden Markov Contour Tree Model for Spatial Structured Prediction||DATA MINING|
|2||Adaptive Diffusion of Sensitive Information In Online Social Networks||DATA MINING|
|3||Adaptive Similarity Embedding For Unsupervised Multi-View Feature Selection||DATA MINING|
|4||Adaptively Secure and Fast Processing of Conjunctive Queries over Encrypted Data||DATA MINING|
|5||BATCH A Scalable Asymmetric Discrete Cross-Modal Hashing||DATA MINING|
|6||Cashless Society Managing Privacy and Security in the Technological Age||DATA MINING|
|7||DGDFS Dependence Guided Discriminative Feature Selection for Predicting Adverse Drug-Drug Interaction||DATA MINING|
|8||Discovering Temporal Patterns for Event Sequence Clustering via Policy Mixture Model||DATA MINING|
|9||Effective Keyword Search over Weighted Graphs||DATA MINING|
|10||Efficient Match-Based Candidate Network Generation for Keyword Queries over Relational Databases||DATA MINING|
|11||Efficient Processing of Group Planning Queries Over Spatial-Social Networks||DATA MINING|
|12||Efficiently Processing Spatial and Keyword Queries in Indoor Venues||DATA MINING|
|13||Evaluating Public Anxiety for Topic-based Communities in Social Networks||DATA MINING|
|14||Fast Multi-view Semi-supervised Learning with Learned Graph||DATA MINING|
|15||Fuzzy K-Means Clustering With Discriminative Embedding||DATA MINING|
|16||Guarantee the Quality-of-Service of Control Transactions in Real-Time Database Systems||DATA MINING|
|17||Hierarchical Prediction and Adversarial Learning For Conditional Response Generation||DATA MINING|
|18||Land Use Classification with Point of Interests and Structural Patterns||DATA MINING|
|19||Modeling Relation Paths for Knowledge Graph Completion||DATA MINING|
|20||Multi-view Clustering with the Cooperation of Visible and Hidden Views||DATA MINING|
|21||Online Pricing with Reserve Price Constraint for Personal Data Markets||DATA MINING|
|22||Personalized Long and Short term Preference Learning for Next POI Recommendation||DATA MINING|
|23||Predicting Hot Events in the Early Period through Bayesian Model for Social Networks||DATA MINING|
|24||Predicting Student Performance in an Educational Game Using a Hidden Markov Model||DATA MINING|
|25||Privacy Preserving Location Data Publishing A Machine Learning Approach||DATA MINING|
|26||Product Quantized Collaborative Filtering||DATA MINING|
|27||Publicly Verifiable Databases with All Efficient Updating Operations||DATA MINING|
|28||Scalable and Adaptive Data Replica Placement for Geo-Distributed Cloud Storages||DATA MINING|
|29||Social Boosted Recommendation with Folded Bipartite Network Embedding||DATA MINING|
|30||Emotion Correlation Mining Through Deep Learning Models on Natural Language Text||DATA MINING|
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