Data Clustering: 50 Years Beyond K-Means - Semantic Scholar
Outlier Detection: A Clustering-Based Approach - Semantic Scholar
An Empirical Evaluation of Density-Based Clustering Techniques
La Cluster analysis
Supervised k-Means Clustering - Cornell Computer Science
Semi-supervised Graph Clustering: A Kernel Approach
Combining Multiple Clusterings Using Evidence ... - CiteSeerX
Video Data Mining Using Configurations of Viewpoint Invariant ...
Hybrid Fuzzy Data Clustering Algorithm Using Different ... - CiteSeerX
k-Means Clustering via the Frank-Wolfe Algorithm
Clustering by a genetic algorithm with biased mutation ... - DiVA portal
An Architecture for Fast and General Data ... - EECS Berkeley
Fast Agglomerative Clustering for Rendering - CiteSeerX
A Grouping of Cancer in Human Health using Clustering Data ...
Machine Learning Overview - CEDAR - University at Buffalo
Distributed Data Mining based on Random - International Journal of ...
Performance Analysis for Quality Measures Using K means ...
Indoor Wi-Fi Positioning System Based On K-means Cluster Analysis
On Challenges in Evaluating Malware Clustering - UNC Computer ...
Data Mining in Cloud Computing - International Journal of Computer ...
A Study of the Factors Considered when Choosing an Appropriate ...
Parallel Clustered Low-rank Approximation of Graphs and Its ...
Web Usage Mining - UNED
Introduction to stream: An Extensible Framework for Data Stream ...
Validation of SOMFA using Data Mining Technique - Semantic Scholar
Improving DDM Performance By Combining Distributed Data Mining ...
Significance of Data Warehousing and Data Mining in Business ...
Data Mining in E-Commerce: A CRM Platform - Semantic Scholar
Web Users Session Analysis Using DBSCAN and Two Phase Utility ...
A Two-Step Clustering for 3-D Gene Expression Data Reveals the ...
A Study of Data Mining Tools in Knowledge Discovery Process
IJCA Template - International Journal of Computer Applications
Efficient Parallel Data Mining with the Apriori ... - Semantic Scholar
Location Mining in Online Social Networks - UT Dallas
A Survey on Transfer Learning - CiteSeerX
THE TEXT MINING HANDBOOK: Advanced Approaches in ...
A Survey & Current Research Challenges in Meta ... - CiteSeerX
The Partial Weighted Set Cover Problem with Applications to Outlier ...
A Rank-by-Feature Framework for Interactive Exploration of ...
Comparative Study of Selected Data Mining Algorithms Used For ...
Applying Association Rules Mining Algorithms for Traffic Accidents ...
Data-intensive applications, challenges - Department of Statistics
A Perspective Analysis of Traffic Accident using Data ... - CiteSeerX
Ontology based Text Clustering - Semantic Scholar
A Survey and Comparative Analysis of Data ... - Semantic Scholar
Introduction to the IEEE Transactions on Big Data - IEEE Computer ...
Artificial Neural Network Approach for Student‟s Behavior Analysis
A Comparison of Different Classification Techniques for - CiteSeerX
Machine learning in bioinformatics - Oxford Journals
CLUSTERING GENE EXPRESSION SIGNALS FROM RETINAL ...
A Hybrid Approach Based On Association Rule Mining - CiteSeerX
A Markov Clustering Topic Model for Mining Behaviour ... - CiteSeerX
Automatic Ontology Derivation Using Clustering for Image - UT Dallas
Single pass clustering for large data sets
Pareto Analysis for Gene Filtering in Microarray Experiments - EECS ...
Data Mining - icdst
NETWORK CONSTRAINED CLUSTERING FOR - EECS @ Michigan
Coverage, Data Mining & Machine Learning in Verification - icdst
Big Data Analytics and Healthcare - Semantic Scholar
Big Data Analytics Options on AWS
Optimization of Association Rule Mining Apriori - CiteSeerX
A Study on Autism Spectrum Disorders using - International Journal ...
Metropolis Algorithms for Representative Subgraph Sampling
Pattern-based Data Sharing in Big Data Environments - CiteSeerX
Rodinia: A Benchmark Suite for Heterogeneous Computing
A Study of Semantic Web Mining: Integrating Domain Knowledge ...
Identifying Important Places in People's Lives from ... - CiteSeerX
Discovering Application Level Semantics for Data Compression ...
Top Ten Big Data Security and Privacy Challenges - ISACA
Scalable Multi-threaded Community Detection in Social Networks
k-Anonymization Revisited - CiteSeerX
Paper Title (use style: paper title)
Basic Concepts in Big Data - University of Illinois at Urbana ...
Protein family classification and functional annotation - PIR
Frontiers in Massive Data Analysis - Department of Statistics
Privacy-Preserving Data Integration and Sharing - Wisc
Abstract Introduction Why this research? - ENID
EVOLVING INSIDER THREAT DETECTION USING - UT Dallas
Multidimensional User Data Model for Web Personalization - arXiv
Social Influence Analysis in Large-scale Networks
Big Data Analytics with Datalog Queries on Spark - UCLA.edu
Self-Organising Maps in Document Classification - Semantic Scholar
PRIVACY-PRESERVING SOCIAL NETWORK ANALYSIS by ...
Segmenting Customers from Population to - NYU
Machine Learning: A very quick introduction
InfoMagnets: Making Sense of Corpus Data - Social Security Online
Comparing Apache Spark and Map Reduce with Performance ...
Database Modeling and Design Lecture Notes - EECS @ Michigan
On the Importance of Mathematical Methods for Analysis of MALDI ...
Big Data Analytics for Security Intelligence - Cloud Security Alliance
Modeling data using directional distributions: Part II - Semantic Scholar
Learning to Discover Social Circles in Ego Networks - UCSD CSE
Text Mining with Information Extraction - UT Computer Science
Parallel Community Detection for Massive Graphs - Georgia Tech ...
WEKA Manual for Version 3-7-8 - Stanford Statistics
An Efficient Algorithm for Mining Frequent Sequential Patterns and ...
A new algorithm for extracting a small ... - Semantic Scholar
An Introduction to Feature Extraction - ClopiNet
Ontology-based Document Mining System for IT Support Service
Optimistic Parallelism Benefits from Data Partitioning - Cornell ...

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