Aislyn Technologies Pvt Ltd

Passion for Learning

Data Mining

Data mining is an interdisciplinary subfield of computer science involvingprocesses of data set discovery utilizing intersecting methodologies (artificial intelligence, machine learning, statistics, and database system(s) etc. The overall goal of the data mining process is transformative structural application(s). Aside from the raw analysis step, it involves database and data management aspects, data pre-processing, model and inference considerations, interestingness metrics, complexity considerations, post-processing of discovered structures, visualization, and online updating.


  1. A Novel Recommendation Model Regularized with User Trust and Item Ratings
  2. Automatically Mining Facets for Queries from Their Search Results
  3. Booster in High Dimensional Data Classification
  4. Connecting Social Media to E-Commerce: Cold-Start Product Recommendation Using Microblogging Information
  5. Cross-Domain Sentiment Classification Using Sentiment Sensitive Embeddings
  6. Crowdsourcing for top-K query processing over uncertain data
  7. Cyberbullying Detection based on Semantic-Enhanced Marginalized De-noising Auto-Encoder
  8. Domain-Sensitive Recommendation with User-Item Subgroup Analysis
  9. Efficient Algorithms for Mining Top-K High Utility Item sets
  10. Efficient Cache-Supported Path Planning on Roads
  11. Mining User-Aware Rare Sequential Topic Patterns in Document Streams
  12. Nearest Keyword Set Search in Multi-Dimensional Datasets
  13. Location Aware Keyword Query Suggestion Based on Document Proximity
  14. Using Hash tag Graph-Based Topic Model to Connect Semantically-Related Words Without Co-Occurrence in Micro blogs
  15. Relevance Feedback Algorithms Inspired By Quantum Detection
  16. Sentiment Embeddings with Applications to Sentiment Analysis
  17. Top-Down XML Keyword Query Processing
  18. Understanding Short Texts through Semantic Enrichment and Hashing
  19. Automatic Clustering via Outward Statistical Testing on Density Metrics
  20. Explaining Missing Answers to Top-k SQL Queries
  21. STI-BT: A Scalable Transactional Index
  22. Privacy-Preserving Utility Verification of the Data Published by Non-Interactive Differentially Private Mechanisms
  23. Privacy-Preserving Outsourced Association Rule Mining on Vertically Partitioned Databases
  24. Cryptographic Hierarchical Access Control for Dynamic Structures
  25. Achieving Probabilistic Anonymity in a Linear and Hybrid Randomization Model
  26. Towards Efficient Multi-keyword Fuzzy Search over Encrypted Outsourced Data with Accuracy Improvement
  27. Efficient Deniably Authenticated Encryption and Its Application to E-mail
  28. Privacy-Preserving Outsourced Calculation on Floating Point Numbers
  29. An Optimization Model for Clustering Categorical Data Streams with Drifting Concepts
  30. Co-Extracting Opinion Targets and Opinion Words from Online Reviews Based on the Word Alignment Model
  31. smart crawler: a two-stage crawler for efficiently harvesting deep-web interfaces
  32. efficient technique for deidentifying unstructured medical data
  33. Weather Forecasting using Incremental K-means Clustering
  34. Intelligent Heart Disease Prediction System Using Data Mining Techniques
  35. Automatic Identification of Spam Comments in English Newspaper Articles
  36. A hybrid technique for anonymizing multiple sensitive attributes in electronic health records