yusuke1997/dblp-id-title huggingface dataset:
Random Forest and PCA for Self-Organizing Maps based Automatic Music Genre Discrimination
A Fine-Grained Mining of Dynamic Texts with Software Agents
The Analysis of the Relationships Between the Real Vehicle Informaion and the Fuel Consumption
Discriminant Random Forests
Real-time Automatic Building Identification
Simple Method for Interpretation of High-Dimensional Nonlinear SVM Classification Models
MRC: Multi Relational Clustering approach
Default ARTMAP Neural Networks for Classification of Anthrax Time Series from Inhalation Anthrax Models
Knowledge Discovery using Artificial Neural Networks for a Conservation Biology Domain
ATM's Daily Cash Money Demand Forecasting with Recurrent Neural Networks
Development of an Optimal Neural Network for Avalanche Forecast in Himalayan Region
A Web Mining Usage based on Degree of Concern with Locational Information Contents
Preliminary Results of Ranking Political Figures Using Naive Bayes Text Classification
3-Functions Meta-Learner Algorithm: a Mixture of Experts Technique to Improve Regression Models
Text Mining Post Project Reviews to Improve the Construction Project Supply Chain Design
Perturbation Scheme for Online Incremental Learning of Features for Face Recognition
Naive Bayes Classifier for Extracting Bibliographic Information from Biomedical Online Articles
Music Visualization with DISC and Structural Feature Diagram
KDD and Its Applications in Automotive Sector - A Brief Survey
A Comprehensive Study in Benchmarking Feature Selection and Classification Approaches for Traditional Malay Music Genre Classification
Efficient Parallel Computation of Inverse Document Frequency Features for Text Mining
A Tour of Advanced Data Mining Methodologies: The CART Decision Tree
Parallel Hybrid Clustering using Genetic Programming and Multi-Objective Fitness with Density (PYRAMID)
Vector Quantization and Rough Set Method in Modeling of Spatial Geographical Systems
Feature Selection Using a Novel Swarm Intelligence Algorithm with Rough Sets
View of Boosting as a Search for Randomness Deficiencies
Ensemble Selection Using Diversity Networks
Understanding Support Vector Machine Classifications via a Recommender System-Like Approach
A Heuristic Counting Algorithm to Solve an Attribute Reduct of Tolerance Information Systems
Automated Taxonomy Generation for Summarizing Multi-Type Relational Datasets
Classification of Large Graphs by a Local Tree Decomposition
On Clustering Users' Behaviors in Video Sessions
Personality Based Latent Friendship Mining
An Efficient Clustering Algorithm based on Sorting and Binary Splitting
Towards Online Personalized Foreseeing System by New Approach through Web Usage Mining
Time Series as a Point - A Novel Approach for Time Series Cluster Visualization
Improving the Results of Partial Match
On granular computing and approximations to classifiers
Indexing Spatio-Temporal Trajectories with Orthogonal Polynomials
A Fuzzy Index Structure for Multi-Dimensional Data
Feature Selection for Improving the Usability of Classification Results of High-Dimensional Data
Stochastic Resonance Noise Benefits in Markov Chain Monte Carlo Density Estimation
A Probabilistic Model of Pattern Recognition on Abstract Data
Using Latent Semantic Analysis of Email to Detect Change in Social Groups
Data Mining on Large Data Set for Predicting Salmon Spawning Habitat
An efficient SOM-based pre-processing to improve the discovery of frequent patterns in alarm logs
Optimal Multi-class Classification with Principal Components
Association Rule Mining from XML Data
Notes on Using Nonlinear Resource Allocation Methods in AIRS Classifier
Impact of a New Attribute Extraction Algorithm on Web Page Classification
Class Selection Avoiding Key-like Property for Better Precise Rules
Large Experiment and Evaluation Tool for WEKA Classifiers
Reverse Tree Clustering
Evaluating Retail Recommender Systems via Retrospective Data: Lessons Learnt from a Live-Intervention Study
Toward Database Semantic Integration - An Approach Based on Conceptual Schema Inference and Ontology
A Novel Scheme for the Detection of an Unknown Class in Classification
Attribute Ordering and Inversion Algorithms for Parallel Coordinates
Updating Technique for Association Rules in Incremental Databases
A New Method for Principal Component Analysis of High-Dimensional Data Using Compressive Sensing
Parallel Synchronization of View Definitions Based On Clustering Techniques
Forecasting Vertical Acceleration Railway Wagons - A comparative study
The Use of Logistic Regression Analyses and Data Classification Mining to Examine Variables Predictive of Long-term Healthcare Staff Giving Cessation Advice
Software Metrics Analysis with Genetic Algorithm and Affinity Propagation Clustering
Network-wide Analysis Using Spatio-temporal Association Rules Mining
Testing Terrorism Using Iterative Expert Data Mining
Privacy Preserving in Clustering using Fuzzy Sets
SP&EPPF: A Novel Algorithm for Sequential Interval-based Pattern Mining
Improved k-NN Algorithm for Text Classification
A Hybrid Wavelet Kernel Construction for Support Vector Machine Classification
Using Unsupervised Machine Learning Methods in High-Throughput Screening
Clustering Scatter Plots Using Data Depth Measures
Text Classification by Markov Random Walks with Reward
Designing an Extensible Query Language for Data Mining
Use of Data Mining for Incremental Modeling of Network Environment Components
Data Mining of Modulation Types Using Cyclostationarity-Based Decision Tree
Supervised DAG Based Data Mining Model for DNA Sequence Analysis and Pattern Discovery
A Survey of Frequent Pattern Mining for Biological Datasets
Improving Cohesiveness of Text Document Clusters
Predicting Customer Online Shopping Adoption - an Evaluation of Data Mining and Market Modelling Approaches
Machine Learning Approach for Classification of Zeolite Crystals
Greedy Learning: Using Advantages of Distribution Functions to Improve Generalization of ANNs
Predicting Daily Exchange Rate Movements by Probabilistic Neural Nets based upon Point & Figure Charts
Biomedical Hypothesis Generation and Testing by Evolutionary Computation
A Medical Claim Fraud/Abuse Detection System based on Data Mining: A Case Study in Chile
Parallel Implementation of Hybrid Clustering
Discovering Latent Healthy Nutritional Dietary Patterns with Association Rule Mining and Constraint Handling Rules
Towards Solving Dimension Reduction Problems for Multi-Dimensional Data
Knowledge Discovery in the Virtual Social Network Due to Common Knowledge of Proverbs
Association Analysis of Semi-structured Data for Discrimination Discovery in Business
Advanced Implementation Techniques for Scientific Data Warehouses
Application of Data Mining Techniques in the Identification of Key Weather Parameters Affecting Electric Load Patterns
Discovering Assignment Rules in Workforce Schedules Using Data Mining
Approximate Computation of Object Distances by Locality-Sensitive Hashing
Forecasting Seasonal Time Series with Multilayer Perceptrons - An Empirical Evaluation of Input Vector Specifications for Deterministic Seasonality
Mining for Structural Anomalies in Graph-based Data
Distributed Frequent Pattern Mining Using Time-Slice Method
Multi-Dimensional Association Rules from Large Weather Data Set : A Proposed Methodology
Ensembles of Locally Linear Models: Application to Bankruptcy Prediction
Pattern-Based Transformation Approach to Relational Domain Learning Using Dynamic Aggregation for Relational Attributes
Fault-Tolerant EM Algorithm for GMM in Sensor Networks
Outlier Detection for Large High-Dimensional Categorical Data using Non-Derivable and Non-Almost-Derivable Sets
Weight Initialization of Gaussian Neural Networks for Conditional Mean and Variance Forecasts
Evaluating Database Marketing Models: More than Meets the Eye
Automatically Discovering the Number of Clusters in Web Page Datasets
A Fast KNN Algorithm Based on Simulated Annealing
Distributed Probabilistic Classification of Data Streams
Multi-Class SVM for Large Data Sets Considering Models of Classes Distribution
Abnormal Process State Detection by Cluster Center Point Monitoring in BWR Nuclear Power Plant
Use of Data Mining Techniques in Understanding Home Interview Surveys Employed for Travel Demand Estimation
Classification of Mammograms Using 2D Haar Wavelets, Rough Sets and Support Vector Machine
Interactive Clustering of Proteomic Data - a Comparison between Self-Organizing Map and Neural Gas
Classifying Independent Medical Examination Reports using SOM Networks
Default ARTMAP Neural Networks for Financial Diagnosis
2006 International Workshop on the Application of Data Mining to Security Control: Foreword
Tuning Topical Query Classification in Large Search Engines to Understand Hidden User Information Need
Fish or Shark - Data Mining Online Poker
The Influences of Number and Nature of Classifiers on Consensus Feature Selection
Data Mining Techniques to Study Therapy Success with Autistic Children
Towards Iteratively Analyzing the Distribution of Multi-Dimensional Data
Back-propagation DEA
Optimization of Self-Organizing Maps Ensemble in Prediction
An Application of Clustering Techniques to Urban Studies
An Improved Distortion Technique for Privacy Preserving Frequent Itemset Mining
Are Decision Trees Always Greener on the Open (Source) Side of the Fence?
Arabic Text Classification Using N-Gram Frequency Statistics A Comparative Study
A New Construction of Classification Based on Asymmetrical Fuzzy Cognitive Map
Crawling Attacks Against Web-based Recommender Systems
Distributed Data Mining using Ensemble Learning Methods
A Hybrid Filter Car Recommender System
Web Information Integration Tool: Data Structure Modelling
Research on The Intraday Periodities Based on Maximum Overlap Discrete Wavelet Transformations
An Overview of Associative Classifiers
Construct Optimal Predictive Classificatoin rules
Assessing the Effectivenes of Data Mining Techniques
Efficient Discovery of Knowledge from Large Geo-Spatial Databases: An Evolutionary Approach
Algorithms and Software for Calculating and Visualizing the Cardinality of the Grand Bounding Ball by Means of Intersection Trees
Mining Structural Changes in Financial Time Series with Gray System
Use of Data Mining to Determine Cheating in Online Student Assessment
Evaluation of Syllabus Based Web Content Extractor
An Analysis of Data Anomalies in Data Mining and Knowledge Discovery in Data
An Efficient Privacy-Preserving Data Mining Platform
Mining Multiple-Level Association Rules from a Transactional Database Using FP-Tree
An Approach for Learning from Small and Unbalanced Data Sets Using Gaussian Noise During Artificial Neural Network Training
A Memory and Processor Efficient Reduct Solving Algorithm
Inference for Neural Network Predictive Models with Impulse Interventions
The Bior 3.1 Wavelet Transform in Multilingual Web Information Retrieval
Comparison of Standard and Optimized K-means in SQL
Mining Data for Profitable Trading
Parameter Sensitivity of Support Vector Regression and Neural Networks for Forecasting
Elaboration of Applied Technologies for Modelling Connected Geomechanical, Geofiltration and Geodynamic Processes in Rock's Massif
Evolving a Locally Optimized Instance Based Learner
Feature Matrix Models for Information Extraction
An Adaptive Probabilistic Reasoning Approach to Data Integration
A Combinatorial Fusion Method for Feature Construction
An Empirical Performance Measurement of Microsoft's Search Engine
Automobile Insurance Knowledge Mining
PanKNN: A Dimension-wise Approach to Similarity Search Problems
An Effective Entity Resolution Method
Learning a Similarity Measure to Objectively Evaluate Image Segmentation Quality
Profiling and Clustering Internet Hosts
Relevant Feature Selection and Generation in High Dimensional Haptic-based Biometric Data
Modifying a Simplified EM Algorithm for Text Clustering using a SM based Operation on String Vectors
Leakage Detection by Adaptive Process Modeling
An Algorithm for the Discovery of Arbitrary Length Ordinal Association Rules
Applications of Data mining in a Web-enabled Caregiver-Report Tool for Symptom Relations in Dementia
Using and Parsing Wikipedia Articles For Text Classification
Mining Positive and Negative Association Rules Based on Closed Itemsets: An approach for generalized rules
Importance of Data Mining in the Assessment of Anoxic Problem from Estuarine Monitoring Data
Learner Interaction Monitoring System (LiMS): Capturing the Behaviors of Online Learners and Evaluating Online Training Courses
Detection of MMORPG Misconducts Based on Action Frequencies, Types and Time-Intervals
Cost-Sensitive Learning vs. Sampling: Which is Best for Handling Unbalanced Classes with Unequal Error Costs?
An XML Distance Measure
Towards a Unified View on Concept Description
Use of Multivariate Data Analysis for Lumber Drying Process Monitoring and Fault Detection
On Computing and Evaluation of Probabilistic Rules from Data
A knowledge-based methodology to predict performance order of data-dependent applications
Finding Sequential Patterns from Temporal Datasets
Novel Evaluation Framework of Intrusion Detection Systems with Respect to Security Policies
Enhanced Named Entity Extraction via Error-Driven Aggregation
Hyper-Rectangular and k-Nearest-Neighbor Models in Stochastic Discrimination
Extracting Interesting Patterns of Hard CSPs
Privacy Preserving in Clustering by Categorizing Attributes Using Privacy and Non Privacy Disclosure Sets
Cost-Sensitive Analysis in Multiple Time Series Prediction
Privacy Preserving Sharing of Data
Enabling the Messmer's Graph Decomposition Approach for Subgraph Isomorphism Detection to Apply to a Larger Set of Graphs
Revised Aggregation-tree Used in Metadata Extraction from SVG Images
Proceedings of The 2005 International Conference on Data Mining, DMIN 2005, Las Vegas, Nevada, USA, June 20-23, 2005
Farsi Text Classification Using N-Grams and Knn Algorithm A Comparative Study
An Efficient K-Means Algorithm in the Data Stream Model
Learning a Hyperplane using Genetic Algorithm for Sentiment Classification in Text
An Intrusion Detection Model Based on Mining Data Streams
An Experimental Study on a New Ensemble Method using Robust and Order Statistics
A Border-Based Approach for Hiding Fuzzy Weighted Sensitive Itemsets
Winning Baseball Through Data Mining
A Clustering Approach for Achieving Data Privacy
On the Ranking of Text Documents from Large Corpuses
Fused Multi-modal Deduplication
SMO-Style Algorithms for Learning Using Privileged Information
Query-biased Near Duplicate Web Document Detecting: Effective, Efficient and Customizable
A Distance-based Classifier for Arabic Text Categorization
Anomaly Detection: A Signature-based Approach
Anomaly Detection Using the Dempster-Shafer Method
Performance Evaluation of Intrusion Detection System Using Optimal Decision Tree SVM
Sales Forecasting Using Structural Risk Minimization Principle of Statistical Learning Theory
Mining Sequential Episodes from Segmentation of Multivariate Time Series
Quantification of a Privacy Preserving Data Mining Transformation
Performance Monitoring and Evaluation of Software Developers in an Information Technology Company using Data Mining Techniques
The Business Value of Taxonomies and Ontologies for Web and Knowledge Management Practices
Rule-Based Linear Regression Machine
Discovering Maximum Sequential Patterns Efficiently
Privacy-Preserving Bayesian Network Learning From Heterogeneous Distributed Data
Sequential and Parallel Rule Extraction from a Concept Lattice
Image Mining: a Review
An Algorithm For Efficiently Clustering High-dimensional Data Streams
GCLOD : A Clustering Algorithm for Improved Intra-cluster Similarity and Efficient Local Outliers Detection
Data Mining For Outlier With Minimum Vector Variance
A New Domain-Independent Field Matching Algorithm for Large Databases
PSFIT: An Efficient Algorithm for Mining Closed Frequent Patterns
Ranking of Health Plan Members for Proactive Intervention
Mining Frequent Itemsets by Transaction Decomposition with Itemset Clustering
Proceedings of the 2007 International Conference on Data Mining, DMIN 2007, June 25-28, 2007, Las Vegas, Nevada, USA
Digital Video WaterMarking System Using Audio Information of Image Discrete Frequency on Improved Security Through Pre-Preocessing
Feature Weighting to Improve Class Discrimination in Subspaces
Feature Extraction for Graph Datasets
Mining of Stock Data: Intra- and Inter-Stock Pattern Associative Classification
Local Selective Partitioning for Heterogeneous Classification Problems
Treatment Outcome for Patients with Low Back Injuries
Extracting Forensic Explanation from Intrusion Alerts
Eliminating Redundant Association Rules in Multi-Level Datasets
A Novel and Efficient Distributed Data Mining Algorithm Based on Frequent Pattern-Tree
On 0-1 Learning
Using Fuzzy Clustering to Determine Agent Reputation
Research on Diagnostic System of Early Colorectal Carcinoma Based on Data Mining
Opportunistic Consensus Clustering
K-Fold Cross Validation for Error Rate Estimate in Support Vector Machines
Exploring Input Selection for Time Series Forecasting
Peeling Decision Tree Based on Fisher's Linear Discriminant Analysis
A Brief Guide to Legal Issues for Data-miners
Detecting Outliers in High-Dimensional Datasets with Mixed Attributes
A Rule-Based Algorithm for Mining Differentially Expressed Ions from High-Throughput LCMS Data
Regression based Incremental Learning through Cluster Analysis of Temporal data
Evaluation of Structured and Un-Structured Document Classification Techniques
Selecting Technical Indicators to be Used by an Artificial Neural Network for Stocks' Trends Prediction
Dynamic Data Mining: A Novel Data Mining Process Model
The Kernel Topological Machine
Rule Based Base Classifier Selection for Bagging Algorithm
On Novelty Evaluation of Potentially Useful Patterns
Combined AND/OR Association Rule
Support for Mining Alert Patterns from Data Streams
Dimensionality Reduction and Variable Selection
Using Social Ties to Predict Missing Customer Information
A Study on Web-Usage Mining Control System of using Page Scroll
Proceedings of The 2009 International Conference on Data Mining, DMIN 2009, July 13-16, 2009, Las Vegas, USA
Music Databases and Data Mining Approaches
Fuzzy Rule Extraction from Very-Imbalanced Datasets
A Prime Number-Based Method for Interactive Frequent Pattern Mining
Mining User Movement Behavior Patterns in a Mobile Service Environment
A Micro-Clustering Based Method for Multi-Class Classification in Multi-Relational Databases
Data Reduction and Classification based on Multiple Classifier Behavior
EmotiBlog: an Annotation Scheme for Emotion Detection and Analysis in Non-traditional Textual Genres
Linked List Based High Utility Itemsets Mining Using Pattern Growth Method
Extension of Hierarchical Information Acquirement by Association Rule Mining from Semi-Structured Data
Incorporating Conditional Probability Functions in Time-Dependent Bayesian Networks
A Fuzzy Neural Based Data Classification System
Metadata Extraction From SVG Images Using A-tree
Learning Ensemble Models on Categorized Datasets
Proceedings of the 2006 International Conference on Data Mining, DMIN 2006, Las Vegas, Nevada, USA, June 26-29, 2006
Finding the Positive Nearest-Neighbor in Recommender Systems
Bi-Directional Subspace Decomposition in Classification
Using Data Mining to Analyze Patient Discharge Data for an Urban Hospital
Using N-Grams Prediction Models to Improve Web Navigation for Wireless Users
Concurrent Agent-enabled Extraction of Computational Fluid Dynamics (CFD) Features in Simulation
Discovering of Frequent Itemsets with CP-mine Algorithm
Enhancing Data Preparation Processes Using Triggers For Active Datawarehousing
On The Usage of Data Mining as a Descriptive and Predictive Tool for Cancer Management in Jordan: A Scenario
Genetic Decision Lists for Concept Description
Proceedings of The 2008 International Conference on Data Mining, DMIN 2008, July 14-17, 2008, Las Vegas, USA, 2 Volumes
Document Indexing by Latent Dirichlet Allocation
Differential Friendly Neighbors Algorithm for Differential Relationships Based Gene Selection and Classification using Microarray Data
Evaluation of Feature Selection Techniques for Analysis of Functional MRI and EEG
A Comparison of Two Document Clustering Approaches for Clustering Medical Documents
Data Mining in the Real World: Experiences, Challenges, and Recommendations
Financial Time Series Segmentation based on Specialized Binary Tree Representation
On Adaboost and Optimal Betting Strategies
Application of Clustering in a Hybrid Global Optimization Algorithm
A Novel Cluster Center Estimation Algorithm with Hybrid Partitional Clustering
WIBE: Mining Frequent Closed Patterns Without Candidate Maintenance in Microarray Dataset
Efficient Incremental Learning with Self-Organizing Neural Grove
Knowledge Discovery in Membership Functions in Fuzzy Modeling
PCS: An Efficient Clustering Method for High-Dimensional Data
Data Mining of Air Traffic Control Operational Errors
SIPPA for Biometric Data Reconstruction
Genetic Algorithm Technique for Profitability Based Segmentation
Enhanced Information Retrieval by Using HTML Tags
Study of Dhaka Stock Exchange-Efficient Market Hypothesis
A Two-Stage Architecture for Classification of Peer-to-Peer Traffic Using Fast Decision Tree
Using Partial Least Squares in Classification
Towards Using Fewer Features for Text Classification
ITR: An Improved Algorithm For Mining Frequent Itemsets
Action Selection in Customer Value Optimization: An Approach Based on Covariate-Dependent Markov Decision Processes
Feature Extraction via Kernelized Signal Fraction Analysis vs Kernelized Principal Component Analysis
Research on Classification of Printing Fault Using Support Vector Machines
Performance Evaluation of Two Data Mining Techniques of Network Alarms Analysis
A Linear Integer Programming Approach to Objective Aware Feature Selection
A Novel Approach for Privacy Preserving Publication of Data
Discovering Accurate and Interesting Classification Rules Using Genetic Algorithm
Fat Tailed Distribution of Neural Networks Forecasting
An Examination of Features for Expert Team Formation via Social Network Analysis
Design of a data mining framework to mine generalized association rules in a web-based GIS
Identification of genes important in predicting the overall survival in patients with follicular lymphoma
Examining Class Dropping with Data Mining
Neural Network Based Missing Data Recovery For Crash Database
An Enhanced Density Based Spatial clustering of Applications with Noise
Learning Classifier Systems Approach for automated generation of Censored Production Rules from large data sets containing Missing and Continuous Attribute values
Forecasting Foreign Exchange Rates Using Time Delay Neural Networks
Validating HODA with Classical Clustering Techniques using Microarray Gene Expression Data
Finding Cloesed Frequent Itemsets in Linear Time
The Internet Democracy: A Predictive Model Based on Web Text Mining
Preference-Based Frequent Pattern Mining - Two Approaches, Two Models
Some Problems in Determinacy Analysis Approaches Development
A Multiple Level Sequential Pattern Mining Model over Data Stream
Case Based Models to Predict Final Sales: A Test of Railway Passenger Arrivals
Naive credal classifier 2: an extension of naive Bayes for delivering robust classifications
Data Warehousing: A Functional Overview
OLAP For Multicriteria Maintenance Scheduling
Fast Cryptographic Privacy Preserving Association Rules Mining on Distributed Homogenous Data Base
Using ANOVA to Analyze Modified Gini Index Decision Tree Classification
High Speed Data Perturbation Methods for Privacy Preserving Data Mining
s-Tuple Inclusion - A New Method for Privacy Preserving Publication of Datasets
Generation of Weak Models in Stochastic Discrimination
Mining Complete Hybrid Sequential Patterns
Name Entity Recognition and Classification in Medical Text Documents
Pre-Extracting Boundary Samples for SVM Based on Perpendicular Bisector Distance Method
A Framework for Improving Time-Oriented Heuristic in Estimating User Session from Web Server Logs
Multivariate Time Series Data Mining: PCA-based Measures For Similarity Search
Finding Topic-specific Strings in Text Categorization and Opinion Mining Contexts