yusuke1997/dblp-id-title huggingface dataset:
A Temperature-Modified Dynamic Embedded Topic Model
A New Evaluation Measure for Imbalanced Datasets
Parallel Nonlinear Dimensionality Reduction Using GPU Acceleration
Data Mining For Lifetime Prediction of Metallic Components
Data Mining - 19th Australasian Conference on Data Mining, AusDM, Brisbane, QLD, Australia, December 14-15, 2021, Proceedings
Are Zero-suppressed Binary Decision Diagrams Good for Mining Frequent Patterns in High Dimensional Datasets?
Model Selection Strategy for Customer Attrition Risk Prediction in Retail Banking
Natural Language Query for Technical Knowledge Graph Navigation
Towards Social Media as a Data Source for Opportunistic Sensor Networking
Feature Selection using Misclassification Counts
A Hybrid Missing Data Imputation Method for Constructing City Mobility Indices
Interpretability of Machine Learning Solutions in Industrial Decision Engineering
Optimized Pruned Annular Extreme Learning Machines
Privacy - Preserving Data Mining at 10: Whats Next?
Hartigan's Method for K-modes Clustering and Its Advantages
SD-HOC: Seasonal Decomposition Algorithm for Mining Lagged Time Series
A Semi-supervised Hidden Markov Topic Model Based on Prior Knowledge
Structure-Based Document Model with Discrete Wavelet Transforms and Its Application to Document Classification
Automatic Detection of Cluster Structure Changes using Relative Density Self-Organizing Maps
Single Document Semantic Spaces
Learning Personalized Tag Ontology from User Tagging Information
Using Decision Tree for Diagnosing Heart Disease Patients
Predictive Analytics for Tertiary Learners in New Zealand Who Are at Risk of Dropping Out of Education
Credit Scoring and Data Mining
Indoor Location Prediction Using Multiple Wireless Received Signal Strengths
Sharpshooting Most Beneficial Part of AUC for Detecting Malicious Logs
Analyzing Harmonic Monitoring Data Using Data Mining
Combining Data Mining And Artificial Neural Networks For Decision Support
Identifying Stock Similarity Based on Multi-event Episodes
How Fast Is -Fast? Performance Analysis of KDD Applications Using Hardware Performance Counters on UltraSPARC-III
Text Mining for Insurance Claim Cost Prediction
Combining Structure and Content Similarities for XML Document Clustering
K Nearest Neighbor Edition to Guide Classification Tree Learning: Motivation and Experimental Results
Investigation of Explainability Techniques for Multimodal Transformers
Extraction of Flat and Nested Data Records from Web Pages
A Bottom-Up Projection Based Algorithm for Mining High Utility Itemsets
Deep Learning for Bias Detection: From Inception to Deployment
Marking Time in Sequence Mining
A Collaborative Filtering Recommendation System Combining Semantics and Bayesian Reasoning
Data Mining Methodological Weaknesses and Suggested Fixes
Non-Invasive Attributes Significance in the Risk Evaluation of Heart Disease Using Decision Tree Analysis
HDAX: Historical Symbolic Modelling of Delay Time Series in a Communications Network
Mining Medical Specialist Billing Patterns for Health Service Management
Functional Visualisation of Genes using Singular Value
Discover Knowledge From Distribution Maps Using Bayesian Networks
Intelligent Document Filter for the Internet
Decomposition of Service Level Encoding for Anomaly Detection
Readiness of Smartphones for Data Collection and Data Mining with an Example Application in Mental Health
Meta-Heuristic Multi-objective Community Detection Based on Users' Attributes
Averaged One-Dependence Estimators: Preliminary Results
Towards Fairness and Privacy: A Novel Data Pre-processing Optimization Framework for Non-binary Protected Attributes
SemGrAM - Integrating Semantic Graphs into Association Rule Mining
Adaptive Spike Detection for Resilient Data Stream Mining
Sequential Deep Learning for Action Recognition with Synthetic Multi-view Data from Depth Maps
Hospital Readmission Prediction Using Semantic Relations Between Medical Codes
Statistical Models of Dengue Fever
Associative Classi cation using a Bio-Inspired Algorithm
Provenance Analysis for Instagram Photos
Semi-supervised Model-Based Clustering for Ordinal Data
A Comparison of One-Class Versus Two-Class Machine Learning Models for Wildfire Prediction in California
Reference Point Transformation for Visualisation
An Improved SMO Algorithm for Credit Risk Evaluation
Canopy-Based Private Blocking
Anytime Algorithms for Mining Groups with Maximum Coverage
Mining Quantitative Association Rules in Protein Sequences
Distributed Association Rule Mining with Minimum Communication Overhead
S2MP: Similarity Measure for Sequential Patterns
Consolidated Trees: An Analysis of Structural Convergence
Implementation and Performance Analysis of Data-Mining Classification Algorithms on Smartphones
Mining X-Ray Images of SARS Patients
Investigation of Topic Modelling Methods for Understanding the Reports of the Mining Projects in Queensland
Designing a Knowledge-based Schema Matching System for Schema Mapping
Measuring Content Preservation in Textual Style Transfer
Investigative Profile Analysis With Computer Forensic Log Data Using Attribute Generalisation
A Query Based Approach for Mining Evolving Graphs
A novel hybrid neural learning algorithm using simulated annealing and quasisecant method
Customer Event Rate Estimation Using Particle Filters
Detecting Anomalous Longitudinal Associations Through Higher Order Mining
Behavioral Analysis of Users for Spammer Detection in a Multiplex Social Network
Attractiveness Analysis for Health Claims on Food Packages
A Multi-level Framework for the Analysis of Sequential Data
Effectiveness of Using Quantified Intermarket Influence for Predicting Trading Signals of Stock Markets
Pattern-based Topic Modelling for Query Expansion
The 15th Australian Joint Conference on Artificial Intelligence 2002, Proceedings Australasian Data Mining Workshop, Canberra, Australia, 3rd December 2002
Mining Minimal Constrained Flow Cycles from Complex Transaction Data
Mining Cluster-based Patterns for Elder Self-care Behavior
What Types of Events Provide the Strongest Evidence that the Stock Market is Affected by Company Specific News?
FSMEC: A Feature Selection Method based on the Minimum Spanning Tree and Evolutionary Computation
Patched Completed Local Binary Pattern is an Effective Method for Neuroblastoma Histological Image Classification
The Schema Last Approach to Data Fusion
Categorical Proportional Difference: A Feature Selection Method for Text Categorization
Analytics for Audit and Business Controls in Corporate Travel and Entertainment
Law in Order: An Open Legal Citation Network for New Zealand
Determining Termhood for Learning Domain Ontologies using Domain Prevalence and Tendency
Data Science and Machine Learning - 21st Australasian Conference, AusDM 2023, Auckland, New Zealand, December 11-13, 2023, Proceedings
AWST: A Novel Attribute Weight Selection Technique for Data Clustering
Community Aware Personalized Hashtag Recommendation in Social Networks
Classification of Brain-Computer Interface Data
Identifying Risk Groups Associated with Colorectal Cancer
Hierarchical Hidden Markov Models: An Application to Health Insurance Data
Measuring Difficulty of Learning Using Ensemble Methods
Interpretable Decisions Trees via Human-in-the-Loop-Learning
Generality Is Predictive of Prediction Accuracy
Evaluation of a Graduate Level Data Mining Course with Industry Participants
Exploring Fusion Strategies in Deep Learning Models for Multi-Modal Classification
Using network evolution theory and singular value decomposition method to improve accuracy of link prediction in social networks
Evolving Wavelet Neural Networks for Breast Cancer Classi cation
SPDF: Set Probabilistic Distance Features for Prediction of Population Health Outcomes via Social Media
High-Dimensional Limited-Sample Biomedical Data Classification Using Variational Autoencoder
Towards Automated Record Linkage
Enhancing Short Text Clustering with Small External Repositories
Determining Termhood for Learning Domain Ontologies in a Probabilistic Framework
SPAARC: A Fast Decision Tree Algorithm
An Incremental Anytime Algorithm for Mining T-Patterns from Event Streams
Skin Cancer Detection with Multimodal Data: A Feature Selection Approach Using Genetic Programming
Improving Scalability and Performance of Random Forest Based Learning-to-Rank Algorithms by Aggressive Subsampling
Improving Naive Bayes Classifier Using Conditional Probabilities
Reference Values Based Hardening for Bloom Filters Based Privacy-Preserving Record Linkage
Shapley Value Based Feature Selection to Improve Generalization of Genetic Programming for High-Dimensional Symbolic Regression
Boosting QA Performance Through SA-Net and AA-Net with the Read+Verify Framework
Unsupervised Fraud Detection in Medicare Australia
Integrating Artificial Intelligence and Data Mining - Proceedings of the 2nd International Workshop on Integrating Artificial Intelligence and Data Mining (AIDM 2007), Gold Coast, Queensland, Australia, December 2007. Proceedings
Drug-drug interactions: A Data Mining Approach
Visualisation and Exploration of Scientific Data Using Graphs
Clustering and Classification of Maintenance Logs using Text Data Mining
Particle Swarm Optimisation for Feature Selection: A Size-Controlled Approach
Distributed Detection of Zero-Day Network Traffic Flows
Enhancing Resource Allocation in IT Projects: The Potentials of Deep Learning-Based Recommendation Systems and Data-Driven Approaches
Data Replication Optimization Using Simulated Annealing
Customer Wallet Share Estimation for Manufacturers Based on Transaction Data
Homogeneous Feature Transfer and Heterogeneous Location Fine-Tuning for Cross-City Property Appraisal Framework
Mitigating the Adverse Effects of Long-Tailed Data on Deep Learning Models
Modeling Proliferation of Ideas in Online Social Networks
On Ranking Nodes using kNN Graphs, Shortest-paths and GPUs
Taxonomy-Augmented Features for Document Clustering
A Discriminant Analysis for Undersampled Data
Chameleon: A Python Workflow Toolkit for Feature Selection
Link Prediction and Topological Feature Importance in Social Networks
Mining for offender group detection and story of a police operation
Case Study: Modeling Risk in Health Insurance - A Data Mining Approach
Stochastic Gradient Boosting: An Introduction to TreeNet™
Graphics Hardware based Efficient and Scalable Fuzzy C-Means Clustering
Aspect-Based Opinion Mining from Product Reviews Using Conditional Random Fields
Nonnegative Matrix Factorization to Understand Spatio-Temporal Traffic Pattern Variations During COVID-19: A Case Study
Market Segmentation of EFTPOS Retailers
Genetic Programming for Extracting Edge Features Using Two Blocks
Data Mining - 16th Australasian Conference, AusDM 2018, Bahrurst, NSW, Australia, November 28-30, 2018, Revised Selected Papers
Graph Embeddings for Non-IID Data Feature Representation Learning
An Efficient Risk Data Learning with LSTM RNN
A Probabilistic Geocoding System Utilising a Parcel Based Address File
Topic Representation using Semantic-Based Patterns
Efficiently Identifying Exploratory Rules' Significance
Random Padding Data Augmentation
OO-FSG: An Object-Oriented Approach to Mine Frequent Subgraphs
ShrFP-Tree: An Efficient Tree Structure for Mining Share-Frequent Patterns
Data Mining in Conceptualising Active Ageing
Retinal Blood Vessels Extraction of Challenging Images
Decreasing Uncertainty for Improvement of Relevancy Prediction
Predictive analytics that takes in account network relations: A case study of research data of a contemporary university
Data Cleansing during Data Collection fromWireless Sensor Networks
Customer Analytics Projects: Addressing Existing Problems with a Process that Leads to Success
Identifying Product Families Using Data Mining Techniques in Manufacturing Paradigm
QUEST: Discovering Insights from Survey Responses
The Impact of Sentiment in the News Media on Daily and Monthly Stock Market Returns
Unsupervised Fraud Detection on Sparse Rating Networks
Towards Web Search Engine Scale Data Mining
Ninth Australasian Data Mining Conference, AusDM 2011, Ballarat, Australia, December 2011
A Learning Approach for Ill-Posed Optimisation Problems
A Study of Local and Global Thresholding Techniques in Text Categorization
Indirect Weighted Association Rules Mining for Academic Network Collaboration Recommendations
Similarity Majority Under-Sampling Technique for Easing Imbalanced Classification Problem
Investigating the Size and Value Effect in Determining Performance of Australian Listed Companies: A Neural Network Approach
Safely Delegating Data Mining Tasks
A Differentially Private Decision Forest
A Drift Aware Hierarchical Test Based Approach for Combating Social Spammers in Online Social Networks
Malicious Behaviour Analysis on Twitter Through the Lens of User Interest
Data Mining - 17th Australasian Conference, AusDM 2019, Adelaide, SA, Australia, December 2-5, 2019, Proceedings
Performance Evaluation of a Distributed Clustering Approach for Spatial Datasets
News Aware Volatility Forecasting: Is the Content of News Important?
Twelfth Australasian Data Mining Conference, AusDM 2014, Brisbane, Australia, November 2014
A Multidimensional Collaborative Filtering Fusion Approach with Dimensionality Reduction
SchemaDB: A Dataset for Structures in Relational Data
Edge Evaluation in Bayesian Network Structures
Knowledge Discovery through SysFor - a Systematically Developed Forest of Multiple Decision Trees
Minors as Miners - Modelling and Evaluating Ontological and Linguistic Learning
Few-Shot and Transfer Learning with Manifold Distributed Datasets
Detection of Classical Cipher Types with Feature-Learning Approaches
Discovering Debtor Patterns of Centrelink Customers
Data Mining and Analytics 2007, Proceedings of the Sixth Australasian Data Mining Conference (AusDM 2007), Gold Coast, Queensland, Australia, December 3-4, 2007, Proceedings
A Comparative Look at the Resilience of Discriminative and Generative Classifiers to Missing Data in Longitudinal Datasets
Understanding risk factors in cardiac rehabilitation patients with random forests and decision trees
A Supervised Learning and Group Linking Method for Historical Census Household Linkage
How Learning Analytics Becomes a Bridge for Non-expert Data Miners: Impact on Higher Education Online Teaching
Exploratory Multilevel Hot Spot Analysis: Australian Taxation Office Case Study
False Data Injection Attacks in Healthcare
Towards Scalable Real-Time Entity Resolution using a Similarity-Aware Inverted Index Approach
Data Guided Approach to Generate Multi-dimensional Schema for Targeted Knowledge Discovery
Non-Redundant Rare Itemset Generation
Mining Productive Emerging Patterns and Their Application in Trend Prediction
Temporal Pattern Matching for the Prediction of Stock Prices
An Improved Naive Bayes Classifier-Based Noise Detection Technique for Classifying User Phone Call Behavior
GOtoGene: A Method for Determining the Functional Similarity among Gene Products
The application of data mining techniques to characterize agricultural soil profiles
Exploiting Redundancy, Recurrency and Parallelism: How to Link Millions of Addresses with Ten Lines of Code in Ten Minutes
Multiple Support Vector Machines for Binary Text Classification Based on Sliding Window Technique
Hierarchical Word Mover Distance for Collaboration Recommender System
The Scamseek Project - Text Mining for Financial Scams on the Internet
An Efficient Two-Party Protocol for Approximate Matching in Private Record Linkage
Monetising User Generated Content Using Data Mining Techniques
A Comparative Study of MRI Data using Various Machine Learning and Pattern Recognition Algorithms to Detect Brain Abnormalities
A non-time series approach to vehicle related time series problems
A Novel Learning-to-Rank Method for Automated Camera Movement Control in E-Sports Spectating
Detecting Asthma Presentations from Emergency Department Notes: An Active Learning Approach
A Data Mining Approach to Analyze the Effect of Cognitive Style and Subjective Emotion on the Accuracy of Time-Series Forecasting
An Alternating Least Square Based Algorithm for Predicting Patient Survivability
Classifying Imbalanced Road Accident Data Using Recurring Concept Drift
LCS Based Diversity Maintenance in Adaptive Genetic Algorithms
An Application of Time-Changing Feature Selection
Misogynistic Tweet Detection: Modelling CNN with Small Datasets
Negative-GSP: An Efficient Method for Mining Negative Sequential Patterns
Eighth Australasian Data Mining Conference, AusDM 2009, Melbourne, Australia, December 2009
Multi-Strategy Ensemble Learning, Ensembles of Bayesian Classifiers, and the Problem of False Discoveries
Enhancing Understandability of Omics Data with SHAP, Embedding Projections and Interactive Visualisations
Mining Big Data Streams: The Fallacy of Blind Correlation and the Importance of Models
A Two-Step Classification Approach to Unsupervised Record Linkage
Efficiently Mining Frequent Subpaths
MStoCast: Multimodal Deep Network for Stock Market Forecast
Hybrid Models for Predicting Cryptocurrency Price Using Financial and Non-Financial Indicators
FlowRecommender: A Workflow Recommendation Technique for Process Provenance
What Data Mining Can Discover From Your Face... No More Lying About Your Age!
Weighted Kernel Model For Text Categorization
A Decision Tree-based Missing Value Imputation Technique for Data Pre-processing
The Role of Statistics Education in the Big Data Era
Useful Clustering Outcomes from Meaningful Time Series Clustering
Kernel-based Visualisation of Genes with the Gene Ontology
An Approach to Argumentation Context Mining from Dialogue History in an E-Market Scenario
A Framework of Combining Markov Model With Association Rules for Predicting Web Page Accesses
A Heuristic Lazy Bayesian Rule Algorithm
SparseDTW: A Novel Approach to Speed up Dynamic Time Warping
On Inconsistencies in Quantifying Strength of Community Structures
Data Mining and Analytics 2006, Proceedings of the Fifth Australasian Data Mining Conference (AusDM2006), Sydney, NSW, Australia, 29-30 November, 2006, Proceedings
Mining Value-Based Item Packages - An Integer Programming Approach
Towards Anytime Anywhere Data Mining e-Services
Distances For Spatio-Temporal Clustering
PostMatch: A Framework for Efficient Address Matching
Volume, Velocity and Variety - Key Challenges for Mining Large Volumes of Multimedia Information
An Empirical Study of Similarity Search in Stock Data
A Modularity-Based Measure for Cluster Selection from Clustering Hierarchies
Factors Influencing Robustness and Effectiveness of Conditional Random Fields in Active Learning Frameworks
Irrigation Water Demand Forecasting - A Data Pre-Processing and Data Mining Approach based on Spatio-Temporal Data
Using Transfer Learning to Detect Phishing in Countries with a Small Population
ABC-SG: A New Artificial Bee Colony Algorithm-Based Distance of Sequential Data Using Sigma Grams
Anomaly Detection Algorithms: Comparative Analysis and Explainability Perspectives
Data Mining and Analytics 2008, Proceedings of the Seventh Australasian Data Mining Conference (AusDM 2008). Glenelg/Adelaide, SA, Australia, 27-28 November 2008, Proceedings
Multiple Imputation on Partitioned Datasets
Visualization of Attractive and Repulsive Zones Between Variables
A Triple Store Implementation to support Tabular Data
Tree Based Scalable Indexing for Multi-Party Privacy-Preserving Record Linkage
Data Mining - 15th Australasian Conference, AusDM 2017, Melbourne, VIC, Australia, August 19-20, 2017, Revised Selected Papers
Hierarchical Topic Model Inference by Community Discovery on Word Co-occurrence Networks
SOMPS-Net: Attention Based Social Graph Framework for Early Detection of Fake Health News
Exploratory Mining over Organisational Communications Data
Analysis of Breast Feeding Data Using Data Mining Methods
Real-time Collaborative Filtering Recommender Systems
Text-Conditioned Graph Generation Using Discrete Graph Variational Autoencoders
VICUS - A Noise Addition Technique for Categorical Data
Damage GAN: A Generative Model for Imbalanced Data
An Approach to Compress and Represents Time Series Data and Its Application in Electric Power Utilities
Combining Machine Learning and Statistical Disclosure Control to Promote Open Data
Accuracy Estimation With Clustered Dataset
Predictive Model of Insolvency Risk for Australian Corporations
A Characterization of Wordnet Features in Boolean Models For Text Classification
Bands of Privacy Preserving Objectives: Classification of PPDM Strategies
Identifying Precursors to Frequency Fluctuation Events in Electrical Power Generation Data
WinDrift: Early Detection of Concept Drift Using Corresponding and Hierarchical Time Windows
Efficient Mining of Top-k Breaker Emerging Subgraph Patterns from Graph Datasets
Building A Data Mining Query Optimizer
Seed-Detective: A Novel Clustering Technique Using High Quality Seed for K-Means on Categorical and Numerical Attributes
Estimating County Health Indices Using Graph Neural Networks
PCITMiner- Prefix-based Closed Induced Tree Miner for finding closed induced frequent subtrees
Applying Data Mining Methods to Generate Formative Feedback in Team Projects
Curtailing the Tax Leakages by Nabbing Return Defaulters in Taxation System
Interpreting Intermittent Bugs in Mozilla Applications Using Change Angle
Decision Models for Record Linkage
HFM++: An Enhanced Holographic Factorization Machine for Recommendation
Coding of Non-Stationary Sources as a Foundation for Detecting Change Points and Outliers in Binary Time-Series
Thirteenth Australasian Data Mining Conference, AusDM 2015, Sydney, Australia, August 2015
The Use of Various Data Mining and Feature Selection Methods in the Analysis of a Population Survey Dataset
Rare Association Rule Mining via Transaction Clustering
Comparison of Interpolation Techniques for Prolonged Exposure Estimation: A Case Study on Seven Years of Daily Nitrogen Oxide in Greater Sydney
Comparison of Visualization Methods of Genome-wide SNP Profiles in Childhood Acute Lymphoblastic Leukaemia
CRUDAW: A Novel Fuzzy Technique for Clustering Records Following User Defined Attribute Weights
LBR-Meta: An Efficient Algorithm for Lazy Bayesian Rules
Predicting Air Quality from Low-Cost Sensor Measurements
Empirical Study of Bagging Predictors on Medical Data
Combining Classifiers in Multimodal Affect Detection
Evaluation of Malware clustering based on its dynamic behaviour
A Two-Sample Kolmogorov-Smirnov-Like Test for Big Data
Improving Bridge Deterioration Modelling Using Rainfall Data from the Bureau of Meteorology
Taking the Confusion Out of Multinomial Confusion Matrices and Imbalanced Classes
Semidiscrete Decomposition: A Bump Hunting Technique
Preference Networks: Probabilistic Models for Recommendation Systems
Show Me Your Friends and I'll Tell You Who You Are. Finding Anomalous Time Series by Conspicuous Cluster Transitions
Interactive Deep Metric Learning for Healthcare Cohort Discovery
Complement Random Forest
Data Mining - Theory, Methodology, Techniques, and Applications
Prescriber-Consumer Social Network Analysis for Risk Level Re-estimation based on an Asymmetrical Rating Exchange Model
wFDT - Weighted Fuzzy Decision Trees for Prognosis of Breast Cancer Survivability
A Case Study of Failure Mode Analysis with Text Mining Methods
Service-independent payload analysis to improve intrusion detection in network traffic
Decision Theoretic Fusion Framework for Actionability Using Data Mining on an Embedded System
Improving Classi cations for Cardiac Autonomic Neuropathy Using Multi-level Ensemble Classi ers and Feature Selection Based
Cartesian Genetic Programming for Trading: A Preliminary Investigation
Informing the Curious Negotiator: Automatic News Extraction from the Internet
Mining MOUCLAS Patterns and Jumping MOUCLAS Patterns to Construct Classifiers
Detection of Structural Changes in Data Streams
An Industrial Application of Rotation Forest: Transformer Health
Using Corpus Analysis to Inform Research into Opinion Detection in Blogs
Detection of Outlier Behaviour Amongst Health/Medical Providers Servicing TAC Clients
Reassembling Multilingual Temporal News Datasets with Incomplete Information
Tenth Australasian Data Mining Conference, AusDM 2012, Sydney, Australia, December 5-7, 2012
An Overview Of Temporal Data Mining