yusuke1997/dblp-id-title huggingface dataset:
Legal Entity Extraction using a Pointer Generator Network
Effective Clustering of High-Dimensional Data
Advances in Data Mining. 9th Industrial Conference, ICDM 2008, Leipzig, Germany, July 2009, Industry Proceedings
TopUMS: Top-k Utility Mining in Stream Data
Constructing Parallel Association Algorithms from Function Blocks
Identify Error-Sensitive Patterns by Decision Tree
An Efficient Classifier Using Decision Trees and Association Rules
About the Use of Data Bases for Data Mining in Direct Marketing
Multi-Agent Based Clustering: Towards Generic Multi-Agent Data Mining
Activity Prediction in Process Management Using the WoMan Framework
Discovering Main Vertexical Planes in a Multivariate Data Space by Using CPL Functions
From Texts, Images, and Data to Attribute Based Case Representation
Redundant Dictionary Spaces as a General Concept for the Analysis of Non-vectorial Data
Sparse Subspace K-means
Efficiency assessment of event-based predictive maintenance in Industry 4.0
Comprehensibility for Decision Intelligence Engineering
Optimal Segmented Linear Regression for Financial Time Series Segmentation
A Geo-Tagging Framework for Address Extraction from Web Pages
Lightweight Clustering Technique for Distributed Data Mining Applications
Learning Discriminative Distance Functions for Case Retrieval and Decision Support
Episode Rule-Based Prognosis Applied to Complex Vacuum Pumping Systems Using Vibratory Data
Fast GPU-Based Influence Maximization Within Finite Deadlines via Node-Level Parallelism
WebAngels Filter: A Violent Web Filtering Engine Using Textual and Structural Content-Based Analysis
Modeling Pricing Strategies Using Game Theory and Support Vector Machines
Creating Dynamic, Personalized RSS Summaries
Privacy-Preserving Discovery of Frequent Patterns in Time Series
Coordinate Refinement on All Atoms of the Protein Backbone with Support Vector Regression
A Fast Distance-Based Outlier Detection Technique
Active Learning Strategies: A Case Study for Detection of Emotions in Speech
AspectEmo: Multi-Domain Corpus of Consumer Reviews for Aspect-Based Sentiment Analysis
Multiobjective Evolutionary Induction of Subgroup Discovery Fuzzy Rules: A Case Study in Marketing
http Hunting: An IBR Approach to Filtering Dangerous HTTP Traffic
Predictive Analysis of Real-Time Strategy Games Using Discriminative Subgraph Mining
Machine Learning-Assisted Prediction of Surgical Mortality of Lung Cancer Patients
Mining Relationship Associations from Knowledge about Failures Using Ontology and Inference
Multivariate Time Series Representation and Similarity Search Using PCA
Mining Concept Similarities for Heterogeneous Ontologies
Advances in Data Mining - Applications and Theoretical Aspects, 19th Industrial Conference, ICDM 2019, New York, USA, July 17 - July 21, 2019, Poster Proceedings
Adaptive Weights Calculation Procedure for Weighted Voting - Idea and Experimental Results
Towards an Online Image-Based Tree Taxonomy
Automated Pipeline for Sentiment Analysis of Political Tweets
OAB - An Open Anomaly Benchmark Framework for Unsupervised and Semisupervised Anomaly Detection on Image and Tabular Data Sets
Simplify Your Law: Using Information Theory to Deduplicate Legal Documents
Robust Feature Selection for SVMs under Uncertain Data
Research on Application of Data Mining Methods to Diagnosing Gastric Cancer
Browsing Assistance Service for Intranet Information Systems
Data Mining for Municipal Financial Distress Prediction
Ensemble of Customized DenseNet with SVM for Refining Iris Contact Lens Features
Deep Neural Language-agnostic Multi-task Text Classifier
Interpretable Representation Learning for Personality Detection
Behavioral Targeting: Which Method produces the most Robust Prediction? A Confrontation between Decisions Trees, Neural Networks and Regressions
Commonsense Knowledge in Weblogs: Mining Script-Like Structures from the Web
Configurations and Couplings: An Exploratory Study
Semi-supervised Learning for False Alarm Reduction
Recognition of the Experimental Design of Laboratory Scale Wine Fermentations Using ANN
Accelerating Active Learning Image Labeling Through Bulk Shift Recommendations
Effects of the Tradeoff between the Customer Churn Rate and Retention Capability on the Predictive Performance of Algorithms
Projection with Double Nonlinear Integrals for Classification
Real-Time Mass Flow Estimation in Circulating Fluidized Bed
Electricity Usage Type Selection and Model Validation Based on Electricity Usage Measurements
A Novel Sparsity Based Classification Framework to Exploit Clusters in Data
Automating the Extraction of Essential Genes from Literature
Contrast-Set Mining of Aircraft Accidents and Incidents
A Decision Rule Based Approach to Generational Feature Selection
Relative Linkage Disequilibrium: A New Measure for Association Rules
Analytical CRM: Still the most Important Key for Successful CRM
Mining Sequential Correlation with a New Measure
Authoring Computer-Understandable Semantic Summaries of Life Science Articles Optimized for Knowledge Mining
Evaluating the Quality of Clustering Algorithms Using Cluster Path Lengths
Extracting Patterns from Socioeconomic Databases to Characterize Small Farmers with High and Low Corn Yields in Mozambique: a Data Mining Approach
ML-DS: A Novel Deterministic Sampling Algorithm for Association Rules Mining
The Impact of Preprocessing on the Classification of Mental Disorders
SBML2SMW Links Systems Biology, Text Mining and Semantic Web
2021 International Conference on Data Mining, ICDM 2021 - Workshops, Auckland, New Zealand, December 7-10, 2021
A Strategy for Clustering a Sparse Dataset
Electricity Consumption Time Series Profiling: A Data Mining Application in Energy Industry
Distributed Generative Data Mining
Semantic Content Models in ARA
Incremental Clustering Algorithms for Massive Dynamic Graphs
An Efficient Algorithm for Frequent Itemset Mining on Data Streams
Domain-Specific Identification of Topics and Trends in the Blogosphere
Towards a High Productivity Automatic Analysis Framework for Classification: An Initial Study
Mining Event Sequences from Social Media for Election Prediction
Shape Averaging by Invariant Fourier Descriptors
Multiple Template Detection Based on Segments
Fast Data Acquisition in Cost-Sensitive Learning
Text Mining Scientific Papers: A Survey on FCA-Based Information Retrieval Research
Data Mining Application for Cyber Credit-Card Fraud Detection System
Collaborative Filtering Fusing Label Features Based on SDAE
Fast and lightweight binary and multi-branch Hoeffding Tree Regressors
Mixture Gaussian Prototypes for Few-Shot Learning
Making Topic Words Distribution More Accurate and Ranking Topic Significance According to the Jensen-Shannon Divergence from Background Topic
Multi-objective Feature Selection with a Sparsity-based Objective Function and Gradient Local Search for Multi-label Classification
Semi-automatic Configuration of Temporal Abstractions of Time Series Data Using CBR
Recognition of Porosity in Wood Microscopic Anatomical Images
Large-Scale Closed High-Utility Itemset Mining
Fuzzy Conceptual Clustering
The Impact of Noise in Spam Filtering: A Case Study
Combining Unsupervised and Supervised Data Mining Techniques for Conducting Customer Portfolio Analysis
Multi-objective Parameters Selection for SVM Classification Using NSGA-II
How Do Various Categorical Similarity Measures Influence the CBR Credit Scoring Model?
An Efficient Data Mining Approach to Concept Map Generation for Adaptive Learning
An Application of Data Mining in Consumer Credit
An Approach for Predicting River Water Quality Using Data Mining Technique
On Cellular Network Channels Data Mining and Decision Making through Ant Colony Optimization and Multi Agent Systems Strategies
Graph-Based Data Warehousing Using the Core-Facets Model
Including Domain Knowledge in Customer Churn Prediction Using AntMiner+
Efficient String Mining under Constraints Via the Deferred Frequency Index
Text Mining Scientific Papers: a Survey on FCA-based Information Retrieval Research
Realizing Modularized Knowledge Models for Heterogeneous Application Domains
Dynamic Pattern Extraction of Parameters in Laser Welding Process
Auto Categorization of Food Safety Reports
An efficient approach for mining weighted frequent patterns with dynamic weights
Two-Phase KNN on Sub-Trajectory Similarity for Efficient Ballistic Launching Point Estimation
Combining Business Process and Data Discovery Techniques for Analyzing and Improving Integrated Care Pathways
An Interdisciplinary Approach for the Automated Detection and Visualization of Media Bias in News Articles
Genomic Data Explosion - The Challenge for Bioinformatics?
Concepts for Novelty Detection and Handling Based on a Case-Based Reasoning Process Scheme
Advances in Data Mining. 8th Industrial Conference, ICDM 2008, Leipzig, Germany, July 2008, Poster and Workshop Proceedings
A Knowledge-aware and Time-sensitive Financial News Recommendation System Based on Firm Relation Derivation
Hierarchical Spatial Clustering for Management Zone Delineation in Precision Agriculture
Regression trees and the evaluation of public goods
Advances in Data Mining, 13th Industrial Conference, ICDM 2013, New York, NY, USA, July 2013. Workshop Proceedings
Ranked patterns and structular linearisation of data sets
Versatile feature learning with graph convolutions and graph structures
High Classification Rates for Continuous Cow Activity Recognition Using Low-Cost GPS Positioning Sensors and Standard Machine Learning Techniques
Ordinal Evaluation: A New Perspective on Country Images
Knowledge Representation in Difficult Medical Diagnosis
Estimating Risk Management in Software Engineering Projects
One Class Classification for Anomaly Detection: Support Vector Data Description Revisited
A Hybrid Machine Learning Method and Its Application in Municipal Waste Prediction
Topic Extraction Analysis for Monetary Policy Minutes of Japan in 2014 - Effects of the Consumption Tax Hike in April
Case Based Reasoning and the Search for Knowledge
A text mining system for bioinformatics: requirements and architecture
Advances in Data Mining. Applications and Theoretical Aspects - 13th Industrial Conference, ICDM 2013, New York, NY, USA, July 16-21, 2013. Proceedings
A Graph-Based Ranking Model for Automatic Keyphrases Extraction from Arabic Documents
CLUES: Detection of User Intent through Interactive Comparison
Analyzing the Bad-Words in tweets of Twitter users to discover the Mental Health Happiness Index and Feel-Good-Factors
Design of Experiment in Border Security Resource Management System
Automatic Fuzzy-Neural based Segmentation of Microscopic Cell Images
Explaining Model Exceptions by the Help of Case-Based Reasoning
Knowledge Discovery in the Form of Prototypical Cases Using Advanced Data Mining Techniques
Similarity Searching in DNA Sequences by Spectral Distortion Measures
A Deep Learning Framework for Classification of in vitro Multi-Electrode Array Recordings
Exploratory Hierarchical Clustering for Management Zone Delineation in Precision Agriculture
Advances in Data Mining. 10th Industrial Conference, ICDM 2010, Berlin, Germany, July 2010, Poster and Industry Proceedings
Aircraft Engine Health Monitoring Using Self-Organizing Maps
Functions and Architecture for Automatic Predictive Targeting and Modelling Realtime On-line Behavior
Establishing Fraud Detection Patterns Based on Signatures
Data Mining the Millennium Seedbank at Kew
Association Rule Hiding for Privacy Preserving Data Mining
Recommending Relevant Applications for Users of SMS based Platforms
Implementation of an Ontology-driven CBR-System for the Intelligent Reuse of Projected-Related Knowledge
Multiple Buying Behavior as an Indicator of Brand Loyalty: An Association Rule Application
Suggestion of Density-based Geometric One-Class Classifier using Genetic Algorithm
Visualizing the Competitive Structure of Online Auctions
Image Classification Using Histograms and Time Series Analysis: A Study of Age-Related Macular Degeneration Screening in Retinal Image Data
Similarity Assessment Mechanism for Spatiotemporal Data Sets in Case-Based Reasoning
The Impact of Experimental Setup on Prepaid Churn Modeling: Data, Population and Outcome Definition
Predictive Modeling for End-of-Life Pain Outcome Using Electronic Health Records
Time Series Ordinal Regression for Supporting the Storage of Temperature Sensitive Medication in Domestic Refrigerators
OVA Scheme vs. Single Machine Approach in Feature Selection for Microarray Datasets
Auditory Scene Analysis Based on Wavelet Transform and Hidden Markov Models
A Sentiment-aware Delightful Walking Route Recommendation System Considering the Scenery and Season
Predicting Disk Failures with HMM- and HSMM-Based Approaches
Feature Selection Using Ant Colony Optimization (ACO): A New Method and Comparative Study in the Application of Face Recognition System
Medical Datasets Analysis: A Constructive Induction Approach
A Distance Measure for Determining Similarity Between Criminal Investigations
Deep Embedded K-Means Clustering
Combining Multidimensional Scaling and Computational Intelligence for Industrial Monitoring
Compositional Analysis for Metallic Systems: Sampling Methods
A Gamified Approach To Automatically Detect Biased Wording And Train Critical Reading
Toward Intrinsic Gene Identification Using Random Forest with Dynamic Feature Selection
Detecting the Transition Stage of Cells and Cell Parts by Prototype-Based Classification
Decision Rules Development Using Set of Generic Operations Approach
Automated Classification of Images from Crystallisation Experiments
Random Projection Through the Lens of Data Complexity Indicators
Combining Traditional and Neural-Based Techniques for Ink Feed Control in a Newspaper Printing Press
A Semi-supervised Approach for Reject Inference in Credit Scoring Using SVMs
Fast Cryptographic Multi-Party Protocols for Computing Boolean Scalar Products with Applications to Privacy-Preserving Association: Rule Mining in Vertically Partitioned Data
Extending Statistical Models for Batch-End Quality Prediction to Batch Control
An Intelligent and Hybrid Weighted Fuzzy Time Series Model Based on Empirical Mode Decomposition for Financial Markets Forecasting
Bioinformatics Contributions to Data Mining
Advances in Data Mining, Applications in E-Commerce, Medicine, and Knowledge Management [Industrial Conference on Data Mining, Leipzig, Germany, June 2002]
An Exploration into the Contexts of Errors and Value Patterns in Data Classification
A Framework for Discovering and Analyzing Changing Customer Segments
Feature Impact for Prediction Explanation
Study of a Bias in the Offline Evaluation of a Recommendation Algorithm
Web-Site Boundary Detection
Biological Interpretation of Metabolic Syndrome Data Missing Value Imputation and Classification
Experience Management: The Fraunhofer IESE Experience Factory
Describing Data with the Support Vector Shell in Distributed Environments
Supervised Selection of Dynamic Features, with an Application to Telecommunication Data Preparation
Sequential Bias, Online Product Reviews, and Recommender Systems
Comparative Analysis of Levenberg-Marquardt and Bayesian Regularization Backpropagation Algorithms in Photovoltaic Power Estimation Using Artificial Neural Network
COMES ® - a Telemedical Assistance System for Early Recognition of Depression at Heart Failure
Mining Semantic Relationships between Concepts across Documents Incorporating Wikipedia Knowledge
Duration-Aware Alignment of Process Traces
Discovering Key Sequences in Time Series Data for Pattern Classification
VISRED II - Introducing Metaheuristics in Multidimensional Scaling
A Hybrid LR/DT Classification Approach for Customer Attrition Risk Prediction in Retail Banking
Medical AI System to Assist Rehabilitation Therapy
Efficient Mining of High Average-Utility Itemsets with Multiple Minimum Thresholds
Stochastic Schemata Exploiter-Based AutoML
Attention Augmented Convolutional Transformer for Tabular Time-series
Intelligent E-marketing with Web Mining, Personalization, and User-Adpated Interfaces
Feature Selection in an Electric Billing Database Considering Attribute Inter-dependencies
Distances in Classification
CWFM: Closed Contingency Weighted Frequent Itemsets Mining
IEBench: Benchmarking Streaming Learners on Imbalanced Evolving Data Streams
Driver-Moderator Method for SKU Sales Forecasting
Finding Irregularly Shaped Clusters Based on Entropy
Multi-exponential Lifetime Extraction in Time-Logarithmic Scale
A Comparison Between CBR and MLC in Order to Indentify Aquaculture Area from a Costal Image
Advances in Data Mining. 7th Industrial Conference, ICDM 2007, Leipzig, Germany, July 2007, Poster and Workshop Proceedings
Predictive Targeting: Buzzword or Reality The potential of Automatic Behavioral Targeted Advertising in Online Marketing
Pluripotent Stem Cells: Classification and Search for Small Sets of Biomarkers
An Adaptive Oversampling Technique for Imbalanced Datasets
Selection of Effective Network Parameters in Attacks for Intrusion Detection
Improvements over Adaptive Local Hyperplane to Achieve Better Classification
Research Themes in the Case-Based Reasoning in Health Sciences Core Literature
An Efficient Algorithm for Instance-Based Learning on Data Streams
Parallel and Distributed Data Mining in Cloud
Application of LSTM Models to Predict In-store Trajectory of Customers
3D Visualisation of Brain Slices by Using Computer Techniques
Temporal Mining of Recorded Collaborative Production of Artefacts
Trend Mining in Social Networks: A Study Using a Large Cattle Movement Database
Sequence Rules for Web Clickstream Analysis
WeFreS: weighted frequent subgraph mining in a single large graph
Temporal Graph Representation Learning for Detecting Anomalies in E-payment Systems
Large-Scale Vertex-Centric Network Embedding via Apache Spark
CoBERT: Scientific Collaboration Prediction via Sequential Recommendation
Prediction of Batch-End Quality for an Industrial Polymerization Process
Contextualized Embedding based Approaches for Social Media-specific Sentiment Analysis
Prognostic Modeling with High Dimensional and Censored Data
Message Passing on Factor Graph: A Novel Approach for Orphan Drug Physician Targeting
Functional Foot Segmentation Based on Plantar Pressure Measurements for Profiling Subjects Performing a Running Exercise
An object delineation algorithm for rock particles under uneven lightning
Weather Impacts on Wine, A BiMax examination of Napa Cabernet in 2011 and 2012 Vintage
An Overview of Three Medical Applications Using Hybrid Case-Based Reasoning
Evaluation of Web Robot Discovery Techniques: A Benchmarking Study
Analysis Using Popularity Awareness Index, Recency Index and Purchase Diversity in Group Buying
Evaluating and Explaining Generative Adversarial Networks for Continual Learning under Concept Drift
Data Quality Visualization for Preprocessing
Legitimacy: An Ensemble Learning Model for Credibility Based Fake News Detection
Prediction Diagnostics - Addressing data veracity in predicting batch processes
Predicting e-commerce customer conversion from minimal temporal patterns on symbolized clickstream trajectories
Processing Handwritten Words by Intelligent Use of OCR Results
Satellite Based Data Mining to Support Egypt's Agriculture
Generalized Graph Matching for Data Mining and Information Retrieval
An Integrated Approach Using Data Mining and System Dynamics to Policy Design: Effects of Electric Vehicle Adoption on CO2 Emissions in Singapore
Predicting Hospital Re-Admissions from Nursing Care Data of Hospitalized Patients
Representation in Case-Based Reasoning Applied to Control Reconfiguration
Bootstrap Feature Selection for Ensemble Classifiers
An Application for Electroencephalogram Mining for Epileptic Seizure Prediction
Autonomous Forex Trading Agents
Measuring Brand Associations through Data Mining: Empirical Study on Fast Food Restaurants Brands
Shanghai Stock Exchange Composite Index Forecasting Based on Microblogging
Image Mining for Intelligent Autonomous Coal Mining
Root causes labelling of industrial assets via relevancy estimation of event logs
Prototypes in two Medical Case-Based Systems
Predicting inactivity users in telecom
Probabilistic Hoeffding Trees - Sped-Up Convergence and Adaption of Online Trees on Changing Data Streams
The Influence of Data Information-carrying Capacity on Quality of Text Mining
Mining Dichromatic Colours from Video
Embedding Normalization: Significance Preserving Feature Normalization for Click-Through Rate Prediction
Categorization of Patient Diseases for Chinese Electronic Health Record Analysis: A Case Study
HACC-spatial: Hierarchical Agglomerative Spatially Constrained Clustering
Online Partisan Polarization of COVID-19
Hopfield Networks in Relevance and Redundancy Feature Selection Applied to Classification of Biomedical High-Resolution Micro-CT Images
The Characteristics of Filter Algorithm for Random Number Generator
Real-Time Prediction of Styrene Production Volume Based on Machine Learning Algorithms
A Study on Multi-label Classification
Learning to Target the Target: Automatic Audience Segmentation
Derivative Free Stochastic Discrete Gradient Method with Adaptive Mutation
Few-Shot Class-Incremental Learning with Meta-Learned Class Structures
PCA versus LDA for Dental Identification
Incorporating Positional Information into Deep Belief Networks for Sentiment Classification
Reduced Quantized Colors for Content Based ImageRetrieval
Data Preparation of Web Log Files for Marketing Aspects Analyses
Association Rule-based Classifier Using Artificial Missing Values
Convolutional Variational Autoencoders for Image Clustering
Learning from Humanoid Cartoon Designs
Melanoma Diagnosis and Classification Web Center System: The Non-invasive Diagnosis Support Subsystem
Managing Product Life Cycle with MultiAgent Data Mining System
Analysis of User Behavior in a C2C Platform during COVID-19 Pandemic
Application of Machine Learning for Growth Environment Prediction in Agriculture
Tracking Multiple Social Media for Stock Market Event Prediction
Causal Inference via Conditional Kolmogorov Complexity
Comparison of Variant Principal Component Analysis Using New RNN-based Framework for Stock Prediction
Methods for Solving the Challenges Observed in the Multi-platform Setup of the Self-driving Cars
On the Integration of Neural Classifiers through Similarity Analysis of Higher Order Features
Ensemble Sales Forecasting Study in Semiconductor Industry
Interest-Determining Web Browser
The Role of Prototypical Cases in Biomedical Case-Based Reasoning
Effects of stimulus checks on spending patterns of different economic groups
Confident Collaborative Metric Learning
Induction of Model Trees for Predicting BOD in River Water: A Data Mining Perspective
Selection of High Risk Patients with Ranked Models Based on the CPL Criterion Functions
Deriving Spatio-temporal Trajectory Fingerprints from Mobility Data using Non-Negative Matrix Factorisation
FAT-DeepFFM: Field Attentive Deep Field-aware Factorization Machine
Ordinal Classification with Monotonicity Constraints
A Hybrid Model on Learning Cross Features for Transaction Fraud Detection
Using Cloogy and Case Based Reasoning to Identify Electrical Consumptions
Data Mining and E-Commerce
Experiences Using Clustering and Generalizations for Knowledge Discovery in Melanomas Domain
Constructing More Accurate Phylogenetic Trees for Highly Divergent Sequences using ClustalW
Data Mining with Digital Fingerprinting - Challenges, Chances, and Novel Application Domains
Enhancing Negation Scope Detection using Multitask Learning
Data-driven American Option Pricing using Artificial Neural Networks
Extraction of Characteristic Curves for Supervisory Control of Industrial Processes Using a Data Mining Suite
Financial Measures as Part of Selection Criteria for Mixture Model Based Segmentation
Using Data Mining to Build Integrated Discrete Event Simulations
Matching Semi-structured Documents Using Similarity of Regions through Fuzzy Rule-Based System
Statistical Analysis of Myofibre Orientation of the Ventricular Myocardium
A new image segmentation algorithm based on kernel spatial fuzzy c-means (FCM)
A Case of Using Formal Concept Analysis in Combination with Emergent Self Organizing Maps for Detecting Domestic Violence
Application of Classification Algorithms on IDDM Rat Data