yusuke1997/dblp-id-title huggingface dataset:
A Gaussian Process-Enabled MCMC Approach for Contaminant Source Characterization in a Sensor-Rich Multi-Story Building
Parameter Estimation of Atmospheric Release Incidents Using Maximal Information Collection
Centralized Ensemble-Based Trajectory Planning of Cooperating Sensors for Estimating Atmospheric Dispersion Processes
Recent Advances in Scaling Up Gaussian Process Predictive Models for Large Spatiotemporal Data
Ensemble Learning in Non-Gaussian Data Assimilation
Aspects of Particle Filtering in High-Dimensional Spaces
Coupled Dynamic Data-Driven Framework for Forest Fire Spread Prediction
An Empirical Reduced Modeling Approach for Mobile, Distributed Sensor Platform Networks
Analytical Approximation of the Heavy-Tail Structure for Intermittently Unstable Complex Modes
A Data Driven Scientific Approach to Environmental Probes
Statistical Inference for Coherent Fluids
Multiscale Stochastic Representation in High-Dimensional Data Using Gaussian Processes with Implicit Diffusion Metrics
Ensemble Adjustment Kalman Filter Data Assimilation for a Global Atmospheric Model
In Situ Sampling of Volcanic Emissions with a UAV Sensorweb: Progress and Plans
Active Singularities for Multivehicle Motion Planning in an N-Vortex System
Dynamic Data-Driven Environmental Systems Science - First International Conference, DyDESS 2014, Cambridge, MA, USA, November 5-7, 2014, Revised Selected Papers
A Novel Approach to Atmospheric Measurements Using Gliding UASs
iSPUW: A Vision for Integrated Sensing and Prediction of Urban Water for Sustainable Cities
Objective Detection of Lagrangian Vortices in Unsteady Velocity Data
A Hybrid Particle-Ensemble Kalman Filter for High Dimensional Lagrangian Data Assimilation
Advances in Light Field Imaging for Measurement of Fluid Mechanical Systems
Small Satellite Constellations for Data Driven Atmospheric Remote Sensing
A Sampling Approach for Four Dimensional Data Assimilation
A Greedy Approach for Placement of Subsurface Aquifer Wells in an Ensemble Filtering Framework
Variational Data Assimilation Based on Derivative-Free Optimization
Local-Scale Assessment of Tropical Cyclone Induced Storm Surge Inundation over the Coastal Zones of India in Probabilistic Climate Risk Scenario
A Multidimensional Aggregation Object (MAO) Framework for Computing Distributive Aggregations
An Exhaustive Covering Approach to Parameter-Free Mining of Non-redundant Discriminative Itemsets
QPAVE: A Multi-task Question Answering Approach for Fine-Grained Product Attribute Value Extraction
The Design and Implementation of Modularized Wrappers/ Monitors in a Data Warehouse
MapReduce-Based Complex Big Data Analytics over Uncertain and Imprecise Social Networks
Focusing on Data Distribution in the WebD 2 W System
Empirical Analysis of Reliability Estimates for Individual Regression Predictions
The GMD Data Model for Multidimensional Information: A Brief Introduction
Up and Down: Mining Multidimensional Sequential Patterns Using Hierarchies
A Logical Model for Multiversion Data Warehouses
The Design and Development of a Logical System for OLAP
ONE: A Predictable and Scalable DW Model
Data Warehousing and Knowledge Discovery, 12th International Conference, DAWAK 2010, Bilbao, Spain, August/September 2010. Proceedings
A Tree Partitioning Method for Memory Management in Association Rule Mining
Online Urban Mobility Detection Based on Velocity Features
Explaining Recovery Trajectories of Older Adults Post Lower-Limb Fracture Using Modality-Wise Multiview Clustering and Large Language Models
Extend UDF Technology for Integrated Analytics
Finding Maximal Overlapping Communities
SPO-Tree: Efficient Single Pass Ordered Incremental Pattern Mining
Approximation of Frequent Itemset Border by Computing Approximate Minimal Hypergraph Transversals
An Integration of TextGCN and Autoencoder into Aspect-Based Sentiment Analysis
HDB-Subdue: A Scalable Approach to Graph Mining
An Efficient Duplicate Record Detection Using q-Grams Array Inverted Index
Rule-Based Multidimensional Data Quality Assessment Using Contexts
An Efficient Map-Reduce Framework to Mine Periodic Frequent Patterns
Workload-Based Placement and Join Processing in Node-Partitioned Data Warehouses
An Approximate Approach for Mining Recently Frequent Itemsets from Data Streams
Data Warehousing and Knowledge Discovery, 6th International Conference, DaWaK 2004, Zaragoza, Spain, September 1-3, 2004, Proceedings
Spatio-temporal Rule Mining: Issues and Techniques
An Envelope-Based Approach to Rotation-Invariant Boundary Image Matching
Smart-Views: Decentralized OLAP View Management Using Blockchains
A Hybrid Particle Swarm Optimization Algorithm for Clustering Analysis
A Precise Blocking Method for Record Linkage
The PDG-Mixture Model for Clustering
Improving Serendipity for Collaborative Metric Learning Based on Mutual Proximity
Partition and Conquer: Map/Reduce Way of Substructure Discovery
Distributed Classification of Data Streams: An Adaptive Technique
Mining Cyclically Repeated Patterns
Vertical Fragmentation of XML Data Warehouses Using Frequent Path Sets
Discovery of Keys for Graphs
Computing Complex Iceberg Cubes by Multiway Aggregation and Bounding
Cost-Sensitive Decision Trees Applied to Medical Data
Trusting Fair Data: Leveraging Quality in Fairness-Driven Data Removal Techniques
Logic Programming for Data Warehouse Conceptual Schema Validation
Cognitive Visual Commonsense Reasoning Using Dynamic Working Memory
S2D: Shared Distributed Datasets, Storing Shared Data for Multiple and Massive Queries Optimization in a Distributed Data Warehouse
From Conceptual to Logical ETL Design Using BPMN and Relational Algebra
Series2Graph++: Distributed Detection of Correlation Anomalies in Multivariate Time Series
Attention-Based Counterfactual Explanation for Multivariate Time Series
View Maintenance for Hierarchical Semistructured Data
Towards an OLAP Environment for Column-Oriented Data Warehouses
Improving Direct Counting for Frequent Itemset Mining
Decision Trees for Probabilistic Data
Applications of Concurrent Access Patterns in Web Usage Mining
Filter-Based Feature Selection Methods for Industrial Sensor Data: A Review
Using Ontologies as Context for Data Warehouse Quality Assessment
Efficient Graph Analytics in Python for Large-Scale Data Science
Optimizing Reaction and Processing Times in Automotive Industry's Quality Management - A Data Mining Approach
Learning of Semantic Sibling Group Hierarchies - K-Means vs. Bi-secting-K-Means
Data Stream Prediction Using Incremental Hidden Markov Models
BitCube: A Bottom-Up Cubing Engineering
Automatic Extraction for Creating a Lexical Repository of Abbreviations in the Biomedical Literature
Binary Shapelet Transform for Multiclass Time Series Classification
MIRABEL DW: Managing Complex Energy Data in a Smart Grid
Optimized Mining of Potential Positive and Negative Association Rules
Impact of Content Novelty on the Accuracy of a Group Recommender System
Fuzzy Classifier Based Feature Reduction for Better Gene Selection
Building a Competitive Associative Classifier
Data Cube Compression with QuantiCubes
The Closed Keys Base of Frequent Itemsets
Creating and Querying Data Cubes in Python Using PyCube
Mining Sequential Patterns of Historical Purchases for E-commerce Recommendation
MultiSpot: Spotting Sentiments with Semantic Aware Multilevel Cascaded Analysis
Scalable Maintenance of Multiple Interrelated Data Warehousing Systems
Sentiment Extraction from Tweets: Multilingual Challenges
Knowledge-Free Table Summarization
Personalizing Navigation in Folksonomies Using Hierarchical Tag Clustering
Constrained Graph b-Coloring Based Clustering Approach
Unsupervised Features Ranking via Coalitional Game Theory for Categorical Data
Discovering Overlapping Communities Based on Cohesive Subgraph Models over Graph Data
Fair-DSP: Fair Dynamic Survival Prediction on Longitudinal Electronic Health Record
Beyond Traditional Flare Forecasting: A Data-driven Labeling Approach for High-fidelity Predictions
Using Social Media for Word-of-Mouth Marketing
SCLOPE: An Algorithm for Clustering Data Streams of Categorical Attributes
Efficient Evaluation of Ad-Hoc Range Aggregates
Explainability in Irony Detection
Workload-Aware Histograms for Remote Applications
Scalable Machine Learning on Popular Analytic Languages with Parallel Data Summarization
Grapevine Phenology Prediction: A Comparison of Physical and Machine Learning Models
Tagged MapReduce: Efficiently Computing Multi-analytics Using MapReduce
EXOS: Explaining Outliers in Data Streams
Flexible Query Answering in Data Cubes
Efficient Mining of Large Maximal Bicliques
Keyboard Usage Authentication Using Time Series Analysis
Vmhist : Efficient Multidimensional Histograms with Improved Accuracy
Difference Detection Between Two Contrast Sets
RODD: Robust Outlier Detection in Data Cubes
Big Data Analytics and Knowledge Discovery - 26th International Conference, DaWaK 2024, Naples, Italy, August 26-28, 2024, Proceedings
Scalable Random Sampling K-Prototypes Using Spark
Evolution of Data Warehouses' Optimization: A Workload Perspective
Secure Outsourced Frequent Pattern Mining by Fully Homomorphic Encryption
An Application of Case-Based Reasoning in Multidimensional Database Architecture
Data Warehouses in Grids with High QoS
Automatic Machine Learning-Based OLAP Measure Detection for Tabular Data
Discovering Richer Temporal Association Rules from Interval-Based Data
Supporting Online Queries in ROLAP
Big Data Analytics and Knowledge Discovery - 24th International Conference, DaWaK 2022, Vienna, Austria, August 22-24, 2022, Proceedings
Modelling Complex Data by Learning Which Variable to Construct
Design and Development of a Tool for Integrating Heterogeneous Data Warehouses
Risk-Management for Data Warehouse Systems
Disease Occurrence Prediction Based on Spatio-temporal Characterization - A Mesoscale Study for Knowledge and Pattern Discovery
A New Approach for Cluster Detection for Large Datasets with High Dimensionality
A Maximum Dimension Partitioning Approach for Efficiently Finding All Similar Pairs
Comparison of Measures for Characterizing the Difficulty of Time Series Classification
ERAPN, an Algorithm for Extraction Positive and Negative Association Rules in Big Data
Analyzing the Research Landscape of DaWaK Papers from 1999 to 2019
Big Data Analytics and Knowledge Discovery - 23rd International Conference, DaWaK 2021, Virtual Event, September 27-30, 2021, Proceedings
SSCJ: A Semi-Stream Cache Join Using a Front-Stage Cache Module
Mining of Association Rules in Text Databases Using Inverted Hashing and Pruning
OpBerg: Discovering Causal Sentences Using Optimal Alignments
A Partial Pre-aggregation Scheme for HOLAP Engines
Discovering Periodic Patterns Common to Multiple Sequences
Categorical Data Visualization and Clustering Using Subjective Factors
Mining Churning Factors in Indian Telecommunication Sector Using Social Media Analytics
A Graph-Based Clustering Scheme for Identifying Related Tags in Folksonomies
Safeness: Suffix Arrays Driven Materialized View Selection Framework for Large-Scale Workloads
"Real-time" Instance Selection for Biomedical Data Classification
Pairwise Similarity Calculation of Information Networks
ETLDiff: A Semi-automatic Framework for Regression Test of ETL Software
FNoDe: Faulty Node Detection in Microservices Architecture
Pre-processing and Indexing Techniques for Constellation Queries in Big Data
Anomaly Detection from Time Series Under Uncertainty
Multi-label Online Streaming Feature Selection Algorithms via Extending Alpha-Investing Strategy
Urban Analytics of Big Transportation Data for Supporting Smart Cities
Short Text Classification Using Semantic Random Forest
XSX: Lightweight Encryption for Data Warehousing Environments
Accounting for Imputation Uncertainty During Neural Network Training
F & A : A Methodology for Effectively and Efficiently Designing Parallel Relational Data Warehouses on Heterogenous Database Clusters
OLAP Formulations for Supporting Complex Spatial Objects in Data Warehouses
Speeding Up Queries in Column Stores - A Case for Compression
Time Series Distance Density Cluster with Statistical Preprocessing
Cost Modeling and Estimation for OLAP-XML Federations
Combining Noise Correction with Feature Selection
High Performance Analytics with the R3-Cache
Towards a Model Independent Method for Explaining Classification for Individual Instances
A New Accurate Clustering Approach for Detecting Different Densities in High Dimensional Data
Where Will You Go? Mobile Data Mining for Next Place Prediction
Discrimination-Aware Association Rule Mining for Unbiased Data Analytics
Inductive Databases as Ranking
Finding Clothing That Fit through Cluster Analysis and Objective Interestingness Measures
Expected vs. Unexpected: Selecting Right Measures of Interestingness
Improving the Performance of OLAP Queries Using Families of Statistics Trees
Selecting Subexpressions to Materialize for Dynamic Large-Scale Workloads
Knowledge Management in Heterogeneous Data Warehouse Environments
Using a Connectionist Approach for Enhancing Domain Ontologies: Self-Organizing Word Category Maps Revisited
A Novel Committee-Based Clustering Method
A Declarative Framework for Mining Top-k High Utility Itemsets
Development of Automated Data Mining System for Quality Control in Manufacturing
A Model-Driven Heuristic Approach for Detecting Multidimensional Facts in Relational Data Sources
Mining Interesting Association Rules for Prediction in the Software Project Management Area
Graph Constraint Language for Industrial Knowledge Graphs and Machine Learning
Adding a Performance-Oriented Perspective to Data Warehouse Design
Mining Violations to Relax Relational Database Constraints
Pathology Data Prioritisation: A Study Using Multi-variate Time Series
On the Computation of Maximal-Correlated Cuboids Cells
Parallel and Distributed SQL/PGQ Query Processing for Property Graphs
Utility-Oriented Gradual Itemsets Mining Using High Utility Itemsets Mining
HOBI: Hierarchically Organized Bitmap Index for Indexing Dimensional Data
The NOX OLAP Query Model: From Algebra to Execution
Implementing Vertical Splitting for Large Scale Multidimensional Datasets and Its Evaluations
A New Approach for the Discovery of Frequent Itemsets
Hybrid System of Case-Based Reasoning and Neural Network for Symbolic Features
Approximate Query Answering Using Data Warehouse Striping
Evaluating the Feasibility Issues of Data Confidentiality Solutions from a Data Warehousing Perspective
Anonymization of Multiple and Personalized Sensitive Attributes
Evaluating Top-K Approximate Patterns via Text Clustering
An Alternative Relational OLAP Modeling Approach
Support for User Involvement in Data Cleaning
Dynamic View Selection for OLAP
Implementation of Multidimensional Index Structures for Knowledge Discovery in Relational Databases
An Extended Local Hierarchical Classifier for Prediction of Protein and Gene Functions
A Machine Learning Trainable Model to Assess the Accuracy of Probabilistic Record Linkage
Materializing Baseline Views for Deviation Detection Exploratory OLAP
Specialty Mining
Motif Based Feature Vectors: Towards a Homogeneous Data Representation for Cardiovascular Diseases Classification
Efficient Data Distribution for DWS
SpaPool: Soft Partition Assignment Pooling for Graph Neural Networks
Efficient Distributed Parallel Top-Down Computation of ROLAP Data Cube Using MapReduce
PROWL: An Efficient Frequent continuity Mining Algorithm on Event Sequences
Real-Time Snapshot Maintenance with Incremental ETL Pipelines in Data Warehouses
Concurrent Execution of Data Mining Queries for Spatial Collocation Pattern Discovery
Efficient Compression of Text Attributes of Data Warehouse Dimensions
A Single Pass Trellis-Based Algorithm for Clustering Evolving Data Streams
COFE: A Scalable Method for Feature Extraction from Complex Objects
Discovering and Visualizing Efficient Patterns in Cost/Utility Sequences
MiSeRe-Hadoop: A Large-Scale Robust Sequential Classification Rules Mining Framework
Ordinal Association Rules towards Association Rules
Mining User Trajectories from Smartphone Data Considering Data Uncertainty
SOLAP4epidemiologist: A Spatial Data Warehousing Application in Epidemiology Domain
2-PS Based Associative Text Classification
SemViSG: Semantic Enrichment and Visualization of Software Graphs
Generating Effective Classifiers with Supervised Learning of Genetic Programming
Using Closed n-set Patterns for Spatio-Temporal Classification
Clustering Based on Sequential Multi-Objective Games
Automatic Image Annotation by Mining the Web
Two Way Focused Classification
Extending Visual OLAP for Handling Irregular Dimensional Hierarchies
Towards Next Generation BI Systems: The Analytical Metadata Challenge
Graph-Based Modeling of ETL Activities with Multi-level Transformations and Updates
On the Costs and Benefits of Learned Indexing for Dynamic High-Dimensional Data
Mining Data Streams with Dynamic Confidence Intervals
An Efficient Cacheable Secure Scalar Product Protocol for Privacy-Preserving Data Mining
Applying Transformations to Model Driven Data Warehouses
Dynamic Topography Information Landscapes - An Incremental Approach to Visual Knowledge Discovery
BLIMP: A Compact Tree Structure for Uncertain Frequent Pattern Mining
Built-In Indicators to Automatically Detect Interesting Cells in a Cube
Inter-item Time Intervals in Sequential Patterns
Analysis of Accuracy of Data Reduction Techniques
An OLAM-Based Framework for Complex Knowledge Pattern Discovery in Distributed-and-Heterogeneous-Data-Sources and Cooperative Information Systems
Using Data Mining Techniques in Fiscal Fraud Detection
Hypergraph Embedding Based on Random Walk with Adjusted Transition Probabilities
An OLAP-based Scalable Web Access Analysis Engine
Mahalanobis Distance Based K-Means Clustering
Discovering Knowledge from Meteorological Databases: A Meteorological Aviation Forecast Study
Anomaly Detection in Financial Transactions Via Graph-Based Feature Aggregations
Emerging Cubes for Trends Analysis in OlapDatabases
Optimal Task Ordering in Chain Data Flows: Exploring the Practicality of Non-scalable Solutions
A New Computation Model for Rough Set Theory Based on Database Systems
Spectral Kernels for Classification
Unsupervised Semantic and Syntactic Based Classification of Scientific Citations
PVM: Parallel View Maintenance under Concurrent Data Updates of Distributed Sources
An Approach to Enabling Spatial OLAP by Aggregating on Spatial Hierarchy
Labeling Nodes of Automatically Generated Taxonomy for Multi-type Relational Datasets
TTL: A Transformation, Transference and Loading Approach for Active Monitoring
Discovering Temporal Patterns for Interval-Based Events
Processing Sequential Patterns in Relational Databases
Dealing with Complex Reports in OLAP Applications
Maintaining Horizontally Partitioned Warehouse Views
Learning Classifiers from Distributed, Ontology-Extended Data Sources
SLA-Aware Cloud Query Processing with Reinforcement Learning-Based Multi-objective Re-optimization
Interactive Clustering for Transaction Data
The Planning OLAP Model - A Multidimensional Model with Planning Support
Space-Efficient Data Cubes for Dynamic Environments
Towards Multidimensional Requirement Design
Sentiment Analysis on Twitter to Improve Time Series Contextual Anomaly Detection for Detecting Stock Market Manipulation
Mobile Activity Recognition Using Ubiquitous Data Stream Mining
Sprint Planning Optimization in Agile Data Warehouse Design
Benchmarking Spatial Data Warehouses
Discovering Community Preference Influence Network by Social Network Opinion Posts Mining
Cross-Modal Sequential Point-of-Interest Recommendation with Lightweight Hybrid Fusion Strategy
DyDa: Dynamic Data Warehouse Maintenance in a Fully Concurrent Environment
A Data Mining-Based Wind Power Forecasting Method: Results for Wind Power Plants in Turkey
Gene Expression Biclustering Using Random Walk Strategies
Heuristic Algorithms for Designing a Data Warehouse with SPJ Views
Mining High Utility Quantitative Association Rules
FedS: Towards Traversing Federated RDF Graphs
Ontology-Based Trajectory Data Warehouse Conceptual Model
Privacy-Preserving Self-Organizing Map
Ontology-Based Information Extraction and Information Retrieval in Health Care Domain
Plan Before You Execute: A Cost-Based Query Optimizer for Attributed Graph Databases
Privacy-Preserving Genetic Algorithms for Rule Discovery
Non-recursive Generation of Frequent K-itemsets from Frequent Pattern Tree Representations
TraceTune: Targeted Fine-Tuning of Attention Heads for Text-to-SQL
Mining Multidimensional Sequential Patterns over Data Streams
Eco-Processing of OLAP Complex Queries
A Relational Approach for Discovering Frequent Patterns with Disjunctions
Nearest Neighbor Search on Vertically Partitioned High-Dimensional Data
Data Swapping: Balancing Privacy against Precision in Mining for Logic Rules
Novel Data Segmentation Techniques for Efficient Discovery of Correlated Patterns Using Parallel Algorithms
Landmark-Join: Hash-Join Based String Similarity Joins with Edit Distance Constraints
MDA-Based Approach for NoSQL Databases Modelling
Data Warehousing and Knowledge Discovery - 15th International Conference, DaWaK 2013, Prague, Czech Republic, August 26-29, 2013. Proceedings
Document Difficulty Framework for Semi-automatic Text Classification
Automating the Schema Matching Process for Heterogeneous Data Warehouses
NADA: NMF-Based Anomaly Detection in Adjacency-Matrices for Industrial Machine Log-Files
What Is Spatio-Temporal Data Warehousing?
Inference Based Classifier: Efficient Construction of Decision Trees for Sparse Categorical Attributes
CPM: A Cube Presentation Model for OLAP
Air Quality Monitoring System and Benchmarking
VGEN: Fast Vertical Mining of Sequential Generator Patterns
Applying Vertical Fragmentation Techniques in Logical Design of Multidimensional Databases
Space-Efficient Range-Sum Queries in OLAP
3-D MRI Brain Scan Classification Using A Point Series Based Representation
Text-Based Causal Inference on Irony and Sarcasm Detection
RDF Data Management is an Analytical Market, not a Transaction One
A Lightweight Stream-Based Join with Limited Resource Consumption
Dynamic Data Warehouse Design
A Joint Design Approach of Partitioning and Allocation in Parallel Data Warehouses
Unified Views for Querying Heterogeneous Multi-model Polystores
An Integrated Query and Mining System for Temporal Association Rules
Accurate Concept Drift Detection Without Updating Autoencoders
The Evaluation of Sentence Similarity Measures
A Survey of Open Source Tools for Business Intelligence
Discovering Relationships Among Properties in Wikidata Knowledge Graph
Partitioning Algorithms for the Computation of Average Iceberg Queries
Neural-Based Approaches for Improving the Accuracy of Decision Trees
Search Result Personalization in Twitter Using Neural Word Embeddings
New Representation and Algorithm for Drawing RNA Structure with Pseudoknots
Co-clustering with Augmented Data Matrix
Building and Exploiting Ad Hoc Concept Hierarchies for Web Log Analysis
Novelty Framework for Knowledge Discovery in Databases
Skyline View: Efficient Distributed Subspace Skyline Computation
Building XML Data Warehouse Based on Frequent Patterns in User Queries
Frequent Sub-graph Mining on Edge Weighted Graphs
PMC: Select Materialized Cells in Data Cubes
Multidimensional Data Visual Exploration by Interactive Information Segments
Grand Reports: A Tool for Generalizing Association Rule Mining to Numeric Target Values
Bulk Loading a Linear Hash File
Missing Values: Proposition of a Typology and Characterization with an Association Rule-Based Model
A Fast Feature-Based Method to Detect Unusual Patterns in Multidimensional Datasets
Authorization Based on Evidence and Trust
Big Data Analytics and Knowledge Discovery - 27th International Conference, DaWaK 2025, Bangkok, Thailand, August 25-27, 2025, Proceedings
Stream Mining of Frequent Patterns from Delayed Batches of Uncertain Data
GARC: A New Associative Classification Approach
Striving towards Near Real-Time Data Integration for Data Warehouses
An MDA Approach for the Development of Spatial Data Warehouses
A Non-overlapping Community Detection Approach Based on α-Structural Similarity
Accelerating K-Means by Grouping Points Automatically