yusuke1997/dblp-id-title huggingface dataset:
Fast Cryptographic Multi-party Protocols for Computing Boolean Scalar Products with Applications to Privacy-Preserving Association Rule Mining in Vertically Partitioned Data
Fast Causal Network Inference over Event Streams
Conceptual Design of XML Document Warehouses
Prediction of Iterative Solvers' Convergence Using Pretraining by Natural Images
Multivariate Time Series Classification: A Relational Way
Data Warehousing and Knowledge Discovery, 4th International Conference, DaWaK 2002, Aix-en-Provence, France, September 4-6, 2002, Proceedings
Prototyping Data Warehouse Systems
Discovering Co-location Patterns in Datasets with Extended Spatial Objects
Third Party Data Clustering Over Encrypted Data Without Data Owner Participation: Introducing the Encrypted Distance Matrix
Multi-objective Optimization for Incremental Decision Tree Learning
Concurrent Semi-supervised Learning of Data Streams
A New Modeling Technique Based on Markov Chains to Mine Behavioral Patterns in Event Based Time Series
k Nearest Neighbor Using Ensemble Clustering
On the Equivalence of Top-Down and Bottom-Up Data Mining in Relational Databases
Information Warehouse for Medical Research
Functional Dependencies in Controlling Sparsity of OLAP Cubes
Mining Periodic Patterns in Sequence Data
Using a Spatial Grid Model to Interpret Players Movement in Field Sports
Sparse Matrix Algorithms for Evolving Neural Networks
Priority-Based k-Anonymity Accomplished by Weighted Generalisation Structures
A Heuristic Approach for On-line Discovery of Unidentified Spatial Clusters from Grid-Based Streaming Algorithms
Document-Base Extraction for Single-Label Text Classification
Big Data Analytics and Knowledge Discovery - 25th International Conference, DaWaK 2023, Penang, Malaysia, August 28-30, 2023, Proceedings
EStream: Online Mining of Frequent Sets with Precise Error Guarantee
Data Integration in the AI Era: Research Trends and Still Open Issues
Sustainable Development Goal Relational Modelling: Introducing the SDG-CAP Methodology
A Hybrid Graph-Based Method for Concept Rule Discovery
Effectiveness of Document Representation for Classification
Mean Shift Clustering Algorithm for Data with Missing Values
Reweighting Forest for Extreme Multi-label Classification
Depth-First Traversal over a Mirrored Space for Non-redundant Discriminative Itemsets
A Markov Blanket Based Strategy to Optimize the Induction of Bayesian Classifiers When Using Conditional Independence Learning Algorithms
Diverse Selection of Feature Subsets for Ensemble Regression
Polarities, Axiallities and Marketability of Items
Support Vector Machine Approach for Fast Classification
FSSM: Fast Construction of the Optimized Segment Support Map
Event-Feeded Dimension Solution
A Logical Model for Data Warehouse Design and Evolution
Leveraging Machine Learning Techniques for Customer Data Deduplication - Hard-Won Lessons from a Real-World Project in the Financial Industry
Analysing Multi-dimensional Data Across Autonomous Data Warehouses
Optimal Dimension Order: A Generic Technique for the Similarity Join
Extending Drill-Down through Semantic Reasoning on Indicator Formulas
Adversarial Spiral Learning Approach to Strain Analysis for Bridge Damage Detection
Multi-label Feature Selection Algorithm via Maximizing Label Correlation-Aware Relevance and Minimizing Redundance with Mutation Binary Particle Swarm Optimization
On the Need of a Reference Algebra for OLAP
A Lightweight Elastic Queue Middleware for Distributed Streaming Pipeline
A UML Profile for Representing Business Object States in a Data Warehouse
Answering Joint Queries from Multiple Aggregate OLAP Databases
An OLAP-Based Approach to Modeling and Querying Granular Temporal Trends
Mining Contextual Preference Rules for Building User Profiles
Approximate k -Closest-Pairs with Space Filling Curves
OLAP Technology for Business Process Intelligence: Challenges and Solutions
Performance Evaluation of SQL-OR Variants for Association Rule Mining
A Scalable Randomized Algorithm for Triangle Enumeration on Graphs Based on SQL Queries
Data Warehousing and Knowledge Discovery, Second International Conference, DaWaK 2000, London, UK, September 4-6, 2000, Proceedings
What-If Analysis for Data Warehouse Evolution
Hybrid Approach to Web Content Outlier Mining Without Query Vector
A Set of Quality Indicators and Their Corresponding Metrics for Conceptual Models of Data Warehouses
Efficient Incremental Maintenance of Derived Relations and BLAST Computations in Bioinformatics Data Warehouses
Discovering Multidimensional Structure in Relational Data
Data Warehousing and Knowledge Discovery, First International Conference, DaWaK '99, Florence, Italy, August 30 - September 1, 1999, Proceedings
Population Estimation Mining Using Satellite Imagery
Cell-at-a-Time Approach to Lazy Evaluation of Dimensional Aggregations
Efficiently Computing Homomorphic Matches of Hybrid Pattern Queries on Large Graphs
An E-Commerce Benchmark for Evaluating Performance Trade-Offs in Document Stores
Mining Frequent Binary Expressions
A Graph-Based Concept Discovery Method for n-Ary Relations
A Tree Comparison Approach to Detect Changes in Data Warehouse Structures
Cluster-Based Sampling Approaches to Imbalanced Data Distributions
OntoWarehousing - Multidimensional Design Supported by a Foundational Ontology: A Temporal Perspective
How Is BI Used in Industry?: Report from a Knowledge Exchange Network
Supervised Hybrid Model for Rumor Classification: A Comparative Study of Machine and Deep Learning Approaches
Semantic Query Expansion Combining Association Rules with Ontologies and Information Retrieval Techniques
Document Clustering by Semantic Smoothing and Dynamic Growing Cell Structure (DynGCS) for Biomedical Literature
PartJoin: An Efficient Storage and Query Execution for Data Warehouses
Impact of Textual Data Augmentation on Linguistic Pattern Extraction to Improve the Idiomaticity of Extractive Summaries
Mining Sequential Patterns with Negative Conclusions
Automatic Transformation of Multi-dimensional Web Tables into Data Cubes
A Distance-Based Approach to Find Interesting Patterns
Preventing Technical Errors in Data Lake Analyses with Type Theory
Efficient Approximate Mining of Frequent Patterns over Transactional Data Streams
DWFIST: Leveraging Calendar-Based Pattern Mining in Data Streams
Efficient Bulk Loading of Large High-Dimensional Indexes
CloudDBGuard: Enabling Sorting and Searching on Encrypted Data in NoSQL Cloud Databases
FairFES - Fast Exact Sampling for Fair Classification
Mining Direct Marketing Data by Ensembles of Weak Learners and Rough Set Methods
A SAT-Based Approach for Mining High Utility Itemsets from Transaction Databases
PAID: Power-Efficient AI-Optimized Databases
Discovering Pattern-Based Dynamic Structures from Versions of Unordered XML Documents
Dual Dimensionality Reduction for Efficient Video Similarity Search
Clustering Transactions with an Unbalanced Hierarchical Product Structure
A Neural-Based Approach for Extending OLAP to Prediction
A Dynamic View Materialization Scheme for Sequences of Query and Update Statements
A Relativistic Opinion Mining Approach to Detect Factual or Opinionated News Sources
Power of Bosom Friends, POI Recommendation by Learning Preference of Close Friends and Similar Users
GEM: Requirement-Driven Generation of ETL and Multidimensional Conceptual Designs
A G-Means Update Ensemble Learning Approach for the Imbalanced Data Stream with Concept Drifts
Data Visualization and Analysis with Self-Organizing Maps in Learning Metrics
Handling Large Workloads by Profiling and Clustering
MultiMatch: Low-Resource Generalized Entity Matching Using Task-Conditioned Hyperadapters in Multitask Learning
CAMS: OLAPing Multidimensional Data Streams Efficiently
Fast Discovery of Sequential Patterns by Memory Indexing
Improving Cross-Document Knowledge Discovery Using Explicit Semantic Analysis
Deriving Efficient SQL Sequences via Read-Aheads
A Hybrid Approach to Web Usage Mining
Enhancing Activity Recognition in Smart Homes Using Feature Induction
A Case for Abstract Cost Models for Distributed Execution of Analytics Operators
TidFP: Mining Frequent Patterns in Different Databases with Transaction ID
Supervised Dimensionality Reduction via Nonlinear Target Estimation
SQL Based Association Rule Mining Using Commercial RDBMS (IBM DB2 UBD EEE)
Mining Quantitative Temporal Dependencies Between Interval-Based Streams
Exploring Causal Chain Identification: Comprehensive Insights from Text and Knowledge Graphs
Rough Set Based Decision Tree Model for Classification
Meta-queries - Computation and Evaluation
An Effective Algorithm to Extract Dense Sub-cubes from a Large Sparse Cube
Performance Evaluation and Optimization of Join Queries for Association Rule Mining
A Hierarchy-Driven Compression Technique for Advanced OLAP Visualization of Multidimensional Data Cubes
A Clustered Dwarf Structure to Speed Up Queries on Data Cubes
Query Processing on Large Graphs: Scalability Through Partitioning
Feature Selection Under Fairness and Performance Constraints
Optimizing a Sequence of Frequent Pattern Queries
Modeling and Imputation of Large Incomplete Multidimensional Datasets
Mining Interesting "Following" Patterns from Social Networks
Modeling and Querying Data Warehouses on the Semantic Web Using QB4OLAP
Contextual and Behavior Factors Extraction from Pedestrian Encounter Scenes Using Deep Language Models
Modeling KDD Processes within the Inductive Database Framework
Answering Approximate Range Aggregate Queries on OLAP Data Cubes with Probabilistic Guarantees
Predicting Your Next OLAP Query Based on Recent Analytical Sessions
Integrating Bitcoin Transactions into Relational Databases for IoT: Challenges and Solutions
Exploring Possible Adverse Drug Reactions by Clustering Event Sequences
Inductive Databases of Polynomial Equations
Frequent Pattern Mining from Time-Fading Streams of Uncertain Data
Modern Software Engineering Methodologies Meet Data Warehouse Design: 4WD
Automatic Segmentation of Big Data of Patent Texts
Self-Organizing Map for Multi-view Text Clustering
Reverse Engineering Approach for NoSQL Databases
Open Source BI Platforms: A Functional and Architectural Comparison
Mining Generalized Association Rule Using Parallel RDB Engine on PC Cluster
Efficient Cluster Detection by Ordered Neighborhoods
Hierarchical Graph Neural Network with Cross-Attention for Cross-Device User Matching
Determining the Convex Hull in Large Multidimensional Databases
Trends Analysis of Topics Based on Temporal Segmentation
Supporting Big Healthcare Data Management and Analytics: The Cloud-Based QFLS Framework
Prince: An Algorithm for Generating Rule Bases Without Closure Computations
Statistically Significant Discriminative Patterns Searching
Mixed Decision Trees: An Evolutionary Approach
SONDER: A Data-Driven Methodology for Designing Net-Zero Energy Public Buildings
Which Bills Are Lobbied? Predicting and Interpreting Lobbying Activity in the US
Outlier Detection Using Replicator Neural Networks
An Evolutionary Approach to Schema Partitioning Selection in a Data Warehouse
Efficient Online Aggregates in Dense-Region-Based Data Cube Representations
Matchmaking for Structured Objects
Incremental OPTICS: Efficient Computation of Updates in a Hierarchical Cluster Ordering
An Approach on ETL Attached Data Quality Management
Adapting LDA Model to Discover Author-Topic Relations for Email Analysis
Semi-Supervised Learning to Support the Exploration of Association Rules
Online Anomaly Energy Consumption Detection Using Lambda Architecture
Random Hypergraph Model Preserving Two-Mode Clustering Coefficient
Novel Clustering That Employs Genetic Algorithm with New Representation Scheme and Multiple Objectives
Compact Representation: An Approach to Efficient Implementation for the Data Warehouse Architecture
Efficient Processing of Drill-across Queries over Geographic Data Warehouses
Using the Real Dimension of the Data
ITER: An Algorithm for Predictive Regression Rule Extraction
Clustering-Based Histograms for Multi-dimensional Data
Enhancing Preprocessing in Data-Intensive Domains using Online-Analytical Processing
IDAGEmb: An Incremental Data Alignment Based on Graph Embedding
CoRe: Generating a Computationally Representative Road Skeleton - Integrating AADT with Road Structure
Preference-Based Recommendations for OLAP Analysis
Big Data Analytics and Knowledge Discovery - 22nd International Conference, DaWaK 2020, Bratislava, Slovakia, September 14-17, 2020, Proceedings
Democratization of OLAP DSMS
Optimization Algorithms for Simultaneous Multidimensional Queries in OLAP Environments
A Coherent Biomedical Literature Clustering and Summarization Approach Through Ontology-Enriched Graphical Representations
Using an Interest Ontology for Improved Support in Rule Mining
A New Relevance Measure for Heterogeneous Networks
Detecting the Onset of Machine Failure Using Anomaly Detection Methods
The Synergies of Context and Data Aging in Recommendations
Information Driven Evaluation of Data Hiding Algorithms
Efficient K-Means Clustering Using Accelerated Graphics Processors
Accurate Aggregation Query-Result Estimation and Its Efficient Processing on Distributed Key-Value Store
Quality Measures for ETL Processes
Evaluating Redundancy and Partitioning of Geospatial Data in Document-Oriented Data Warehouses
Big Data Analytics and Knowledge Discovery - 18th International Conference, DaWaK 2016, Porto, Portugal, September 6-8, 2016, Proceedings
Set-Derivability of Multidimensional Aggregates
A Parameter-Free Associative Classification Method
A Value-Added Approach to Design BI Applications
MOSAIC: A Proximity Graph Approach for Agglomerative Clustering
Mining Association Rules from XML Data
Fragtique: Applying an OO Database Distribution Strategy to Data Warehouses
Large Scale Indexing and Searching Deep Convolutional Neural Network Features
RssE-Miner: A New Approach for Efficient Events Mining from Social Media RSS Feeds
User Defined Partitioning - Group Data Based on Computation Model
A Novel Similarity-Based Modularity Function for Graph Partitioning
The Pruning Power: Theory and Heuristics for Mining Databases with Multiple k -Nearest-Neighbor Queries
Towards Regional Explanations with Validity Domains for Local Explanations
Mining Top-K Multidimensional Gradients
Text-Based Event Detection: Deciphering Date Information Using Graph Embeddings
Discovering Statistically Significant Co-location Rules in Datasets with Extended Spatial Objects
Effective Classification of Ground Transportation Modes for Urban Data Mining in Smart Cities
Autism Detection by Analyzing Handwriting Characteristics of Chinese Characters via Deep Learning Models
Time Aware Index for Link Prediction in Social Networks
Incremental Itemset Mining Based on Matrix Apriori Algorithm
Optimal Multidimensional Query Processing Using Tree Striping
A Chain Composite Item Recommender for Lifelong Pathways
Big Data Analytics and Knowledge Discovery - 20th International Conference, DaWaK 2018, Regensburg, Germany, September 3-6, 2018, Proceedings
Computation of Sparse Data Cubes with Constraints
A Transactional Approach to Parallel Data Warehouse Maintenance
Determining Query Readiness for Structured Data
Querying Heterogeneous Data in Graph-Oriented NoSQL Systems
A Fast NDFA-Based Approach to Approximate Pattern-Matching for Plagiarism Detection in Blockchain-Driven NFTs
Exact and Approximate Sizes of Convex Datacubes
Data Mining Approaches to Diffuse Large B-Cell Lymphoma Gene Expression Data Interpretation
Maintenance of Generalized Association Rules Under Transaction Update and Taxonomy Evolution
TopPI: An Efficient Algorithm for Item-Centric Mining
Using Confusion Matrices and Confusion Graphs to Design Ensemble Classification Models from Large Datasets
Differentiated Multiple Aggregations in Multidimensional Databases
Detecting Feature Interactions in Agricultural Trade Data Using a Deep Neural Network
StreamXM: An Adaptive Partitional Clustering Solution for Evolving Data Streams
Summarizing Distributed Data Streams for Storage in Data Warehouses
Parallel Vector Computing Technique for Discovering Communities on the Very Large Scale Web Graph
Data-driven and On-Demand Conceptual Modeling
Rule Learning with Probabilistic Smoothing
Which Is Better for Frequent Pattern Mining: Approximate Counting or Sampling?
Bringing Together Partitioning, Materialized Views and Indexes to Optimize Performance of Relational Data Warehouses
High-Utility Interval-Based Sequences
Selective Pre-processing of Imbalanced Data for Improving Classification Performance
Mining Attribute Evolution Rules in Dynamic Attributed Graphs
ODCA: An Outlier Detection Approach to Deal with Correlated Attributes
Continuous Trend-Based Clustering in Data Streams
Progressive Ranking of Range Aggregates
XML Data Fusion
A New Paradigm for Collaborating Distributed Query Engines
Computing Hierarchical Skyline Queries "On-the-Fly" in a Data Warehouse
Balancing Tree Size and Accuracy in Fast Mining of Uncertain Frequent Patterns
Detecting Anomalies in Production Quality Data Using a Method Based on the Chi-Square Test Statistic
Data Warehousing and Knowledge Discovery - 13th International Conference, DaWaK 2011, Toulouse, France, August 29-September 2,2011. Proceedings
Data Warehousing and Knowledge Discovery, 7th International Conference, DaWaK 2005, Copenhagen, Denmark, August 22-26, 2005, Proceedings
Enhanced Sliding Window-Based Periodic Pattern Mining from Dynamic Streams
An Algorithm for Building User-Role Profiles in a Trust Environment
Mining Approximate Frequent Closed Flows over Packet Streams
Incremental and Decremental Proximal Support Vector Classification using Decay Coefficients
Privacy Preserving Spatio-Temporal Clustering on Horizontally Partitioned Data
The NOX Framework: Native Language Queries for Business Intelligence Applications
An Efficient K -Medoids-Based Algorithm Using Previous Medoid Index, Triangular Inequality Elimination Criteria, and Partial Distance Search
Fast Loads and Fast Queries
A Hybrid Architecture for Tactical and Strategic Precision Agriculture
Mining Generalized Association Rules with Multiple Minimum Supports
Algorithms for Discovery of Frequent Superset, Rather than Frequent Subset
Mining Inter-transactional Association Rules: Generalization and Empirical Evaluation
Subset Labeled LDA: A Topic Model for Extreme Multi-label Classification
Mining Recent High-Utility Patterns from Temporal Databases with Time-Sensitive Constraint
Moderated VFDT in Stream Mining Using Adaptive Tie Threshold and Incremental Pruning
An Experimental Performance Evaluation of Incremental Materialized View Maintenance in Object Databases
Tag Me a Label with Multi-arm: Active Learning for Telugu Sentiment Analysis
Data Engineering for Data Science: Two Sides of the Same Coin
HI-Tree: Mining High Influence Patterns Using External and Internal Utility Values
A Novel Technique for Query Plan Representation Based on Graph Neural Nets
Selection and Pruning Algorithms for Bitmap Index Selection Problem Using Data Mining
Building Smart Cubes for Reliable and Faster Access to Data
A Theoretical Framework for Association Mining Based on the Boolean Retrieval Model
Analyzing a Decade of Evolution: Trends in Natural Language Processing
Spark Based Text Clustering Method Using Hashing
A Decremental Algorithm for Maintaining Frequent Itemsets in Dynamic Databases
New Word Detection and Tagging on Chinese Twitter Stream
GeoDWFrame: A Framework for Guiding the Design of Geographical Dimensional Schemas
Discovering Web Document Associations for Web Site Summarization
Mining Non-redundant Information-Theoretic Dependencies between Itemsets
A New Semantic Representation for Short Texts
On Efficient Storing and Processing of Long Aggregate Lists
Mining Partially-Ordered Episode Rules with the Head Support
Embedding-Based Data Matching for Disparate Data Sources
Constraint-Free Join Processing on Hyperlinked Web Data
Arguing from Experience to Classifying Noisy Data
MAF: A Method for Detecting Temporal Associations from Multiple Event Sequences
A Case Study on Model-Driven Data Warehouse Development
Towards a Modernization Process for Secure Data Warehouses
Big Data Analytics and Knowledge Discovery - 21st International Conference, DaWaK 2019, Linz, Austria, August 26-29, 2019, Proceedings
Integrated Process Data and Organizational Data Analysis for Business Process Improvement
A Comparison between Query Languages for the Extraction of Association Rules
Data Warehousing and Knowledge Discovery - 16th International Conference, DaWaK 2014, Munich, Germany, September 2-4, 2014. Proceedings
Towards an Adaptive Multidimensional Partitioning for Accelerating Spark SQL
Classifying Websites into Non-topical Categories
Complementing Data in the ETL Process
A Scalable Algorithm for Banded Pattern Mining in Multi-dimensional Zero-One Data
Mining Borders of the Difference of Two Datacubes
SPIN: Concurrent Workload Scaling over Data Warehouses
Extraction of Association Rules Based on Literalsets
Dealing with Data Bias in Classification: Can Generated Data Ensure Representation and Fairness?
Mining First-Order Temporal Interval Patterns with Regular Expression Constraints
Processing Aggregate Queries on Spatial OLAP Data
"On-the-fly" VS Materialized Sampling and Heuristics
A Bounded Version of Online Boosting on Open-Ended Data Streams
FIBS: A Generic Framework for Classifying Interval-Based Temporal Sequences
Towards Hybrid Embedded Feature Selection and Classification Approach with Slim-TSF
Parameterless Data Compression and Noise Filtering Using Association Rule Mining
Declarative Expression and Optimization of Data-Intensive Flows
UFOMQ: An Algorithm for Querying for Similar Individuals in Heterogeneous Ontologies
Feature Analysis of Regional Behavioral Facilitation Information Based on Source Location and Target People in Disaster
Evaluation of Materialized View Indexing in Data Warehousing Environments
Implementing a Data Lineage Tracker
FMC: An Approach for Privacy Preserving OLAP
GMAC: A Seed-Insensitive Approach to Local Community Detection
Discovering Community-Oriented Roles of Nodes in a Social Network
Mining Recurrent Concepts in Data Streams Using the Discrete Fourier Transform
A Fast Randomized Method for Local Density-Based Outlier Detection in High Dimensional Data
Subtree Similarity Search Based on Structure and Text
An Efficient Approach for Instance Selection
Dynamic Schema Navigation Using Formal Concept Analysis
Data Warehousing and Knowledge Discovery, 9th International Conference, DaWaK 2007, Regensburg, Germany, September 3-7, 2007, Proceedings
Data Mining Support in Database Management Systems
Data Warehousing and Knowledge Discovery, Third International Conference, DaWaK 2001, Munich, Germany, September 5-7, 2001, Proceedings
"The Absence of Evidence is Not the Evidence of Absence": Fact Verification via Information Retrieval-Based In-Context Learning
Boosting Latent Inference of Resident Preference from Electricity Usage - A Demonstration on Online Advertisement Strategies
Funding Research in Data Warehousing and Knowledge Discovery EPROS: The European Plan for Research in Official Statistics
KMN - Removing Noise from K-Means Clustering Results
Genetic Algorithm for Materialized View Selection in Data Warehouse Environments
Visual Modelling of Data Warehousing Flows with UML Profiles
Meta-learning for Post-processing of Association Rules
RecTree: An Efficient Collaborative Filtering Method
Finding Fraud in Health Insurance Data with Two-Layer Outlier Detection Approach
BPMN-Based Conceptual Modeling of ETL Processes
Providing Persistence for Sensor Data Streams by Remote WAL
Mondou: Information Navigator with Visual Interface
New Management Operations on Classifiers Pool to Track Recurring Concepts
Semantic Knowledge Integration to Support Inductive Query Optimization
HKS: Efficient Data Partitioning for Stateful Streaming
TiDE: Template-Independent Discourse Data Extraction
Extending the Dimensional Templates Approach to Integrate Complex Multidimensional Design Concepts
Self-Tuning Clustering: An Adaptive Clustering Method for Transaction Data
Entity Resolution for Streaming Data with Embeddings
Lazy Aggregates for Real-Time OLAP
Data Warehousing and Knowledge Discovery: A Chronological View of Research Challenges