yusuke1997/dblp-id-title huggingface dataset:
ETLMR: A Highly Scalable Dimensional ETL Framework Based on MapReduce
Extracting Non-redundant Correlated Purchase Behaviors by Utility Measure
Sarcastic RoBERTa: A RoBERTa-Based Deep Neural Network Detecting Sarcasm on Twitter
Mining Sequential Patterns with Item Constraints
TRANS-AM: Discovery Method of Optimal Input Vectors Corresponding to Objective Variables
Efficient Row Pattern Matching Using Pattern Hierarchies for Sequence OLAP
Learning from Dissociations
Extending UML 2 Activity Diagrams with Business Intelligence Objects
Classification Based on Attribute Dependency
Achieving k -Anonymity by Clustering in Attribute Hierarchical Structures
Alternatives to Shallow Autoencoders for Collaborative Filtering
Integrating ETL Processes from Information Requirements
Pre-computing Approximate Hierarchical Range Queries in a Tree-Like Histogram
Visual Transformers Meet Convolutional Neural Networks: Providing Context for Convolution Layers in Semantic Segmentation of Remote Sensing Photovoltaic Imaging
History Guided Low-Cost Change Detection in Streams
CoFD : An Algorithm for Non-distance Based Clustering in High Dimensional Spaces
What Time Is It in the Data Warehouse?
Towards Semantification of Big Data Technology
Temporal Structures in Data Warehousing
A Hilbert Space Compression Architecture for Data Warehouse Environments
MetaCube XTM: A Multidimensional Metadata Approach for Semantic Web Warehousing Systems
On Supporting Interactive Association Rule Mining
A Fast Algorithm for Hierarchical Text Classification
Fighting Redundancy in SQL
DBGAN: A Data Balancing Generative Adversarial Network for Mobility Pattern Recognition
Metrics to Support the Evaluation of Association Rule Clustering
Similarity between Event Types in Sequences
SentiLDA - An Effective and Scalable Approach to Mine Opinions of Consumer Reviews by Utilizing Both Structured and Unstructured Data
Mining Changes for Real-Life Applications
Scalable Least Square Twin Support Vector Machine Learning
Security in Data Warehousing
An Efficient Algorithm for Identifying the Most Contributory Substring
SDWP: A New Data Placement Strategy for Distributed Big Data Warehouses in Hadoop
Towards the Automatic Construction of Conceptual Taxonomies
Extrapolation Prefix Tree for Data Stream Mining Using a Landmark Model
A New Approach for Item Choice Recommendations
FLOWER: Viewing Data Flow in ER Diagrams
Framework to Optimize Data Processing Pipelines Using Performance Metrics
Adaptable Similarity Search Using Vector Quantization
Using OCL for Automatically Producing Multidimensional Models and ETL Processes
Discovery of Contrast Itemset with Statistical Background Between Two Continuous Variables
UML-Based Modeling for What-If Analysis
On Schema Evolution in Multidimensional Databases
Extreme-SAX: Extreme Points Based Symbolic Representation for Time Series Classification
Finding Critical Thresholds for Defining Bursts
Lily: A Geo-Enhanced Library for Location Intelligence
A Novel Neurofuzzy Approach for Semantic Similarity Measurement
Certainty Attacks Using Explainability Preprocessing
Discovery of Association Rule Meta-Patterns
Data Warehousing and Knowledge Discovery, 11th International Conference, DaWaK 2009, Linz, Austria, August 31 - September 2, 2009, Proceedings
Spatio-temporal Aggregations in Trajectory Data Warehouses
Conceptual Modeling for Classification Mining in Data Warehouses
Drift Detector for Memory-Constrained Environments
Implementation of Multidimensional Databases with Document-Oriented NoSQL
Physical Design and Implementation of Spatial Data Warehouses Supporting Continuous Fields
EGEA : A New Hybrid Approach Towards Extracting Reduced Generic Association Rule Set (Application to AML Blood Cancer Therapy)
Compressed Datacubes for fast OLAP Applications
Ontology-Based Exchange and Immediate Application of Business Calculation Definitions for Online Analytical Processing
Benchmarking Data Lakes Featuring Structured and Unstructured Data with DLBench
State-Transition-Aware Anomaly Detection Under Concept Drifts
Interpretable Input-Output Hidden Markov Model-Based Deep Reinforcement Learning for the Predictive Maintenance of Turbofan Engines
Queen-Bee: Query Interaction-Aware for Buffer Allocation and Scheduling Problem
Selective View Materialization in a Spatial Data Warehouse
Time-Interval Sampling for Improved Estimations in Data Warehouses
VarDB: High-Performance Warehouse Processing with Massive Ordering and Binary Search
Improving the Processing of DW Star-Queries under Concurrent Query Workloads
Feature Selection with Mutual Information for Uncertain Data
Big Data Analytics of Social Networks for the Discovery of "Following" Patterns
A Web Search Enhanced Feature Extraction Method for Aspect-Based Sentiment Analysis for Turkish Informal Texts
Behave or Be Detected! Identifying Outlier Sequences by Their Group Cohesion
Fair Proportional Top-k Ranking
Finding Banded Patterns in Data: The Banded Pattern Mining Algorithm
Diversity in Random Subspacing Ensembles
Universal Storage Adaption for Distributed RDF-Triple Stores
Enhancing Coverage and Expressive Power of Spatial Data Warehousing Modeling: The SDWM Approach
Metadata to Support Transformations and Data & Metadata Lineage in a Warehousing Environment
Evaluation of Data Warehouse Design Methodologies in the Context of Big Data
Mining Maximal Frequently Changing Subtree Patterns from XML Documents
Mining High-Correlation Association Rules for Inferring Gene Regulation Networks
SQL/LPP+: A Cascading Query Language for Temporal Correlation Verification
On Decisive Skyline Queries
K-means Clustering Algorithm for Categorical Attributes
Using Schema Transformation Pathways for Incremental View Maintenance
Reducing Multidimensional Data
Finding Strongly Correlated Trends in Dynamic Attributed Graphs
DHE 2 : Distributed Hybrid Evolution Engine for Performance Optimizations of Computationally Intensive Applications
Explainable Recommendations for Wearable Sensor Data
View Derivation Graph with Edge Fitting for Adaptive Data Warehousing
Data Warehousing and Knowledge Discovery, 8th International Conference, DaWaK 2006, Krakow, Poland, September 4-8, 2006, Proceedings
Bounding Box Representation of Co-location Instances for L ∞ Induced Distance Measure
Ensemble Feature Selection Based on the Contextual Merit
Mining Trajectory Patterns Using Hidden Markov Models
UniCausal: Unified Benchmark and Repository for Causal Text Mining
OLAP-based Scalable Profiling of Customer Behavior
On the Independence of Data Warehouse from Databases in Maintaining Join Views
Exploiting Mathematical Structures of Statistical Measures for Comparison of RDF Data Cubes
Generalization-Based Privacy-Preserving Data Collection
Dynamic Time Warping for Phase Recognition in Tribological Sensor Data
Boosting Naive Bayes for Claim Fraud Diagnosis
Multistep-ahead Prediction: A Comparison of Analytical and Algorithmic Approaches
Tabular Web Data: Schema Discovery and Integration
Clustering by Regression Analysis
Mining Popular Patterns from Transactional Databases
Elimination of Redundant Views in Multidimensional Aggregates
Opening up Data Analysis for Medical Health Services: Cancer Survival Analysis with CARESS
Optimized Rule Mining Through a Unified Framework for Interestingness Measures
Parameter-Free Extended Edit Distance
Adaptive Load Shedding for Mining Frequent Patterns from Data Streams
Integrating Clustering Data Mining into the Multidimensional Modeling of Data Warehouses with UML Profiles
A Hybrid Technique for Data Mining on Balance-Sheet Data
Domination Mining and Querying
ONNYX : Optimized Neural Networks Yielding eXplainable Insights from ECG Signals-Based Data Streams
Genetic Algorithms-Based Symbolic Aggregate Approximation
Incremental Refinement of Mining Queries
Data Warehousing and Knowledge Discovery, 10th International Conference, DaWaK 2008, Turin, Italy, September 2-5, 2008, Proceedings
Classification of Hidden Network Streams
A Clustering Model for Uncertain Preferences Based on Belief Functions
Knowledge Acquisition from Sensor Data in an Equine Environment
Putting Co-Design-Supporting Data Lakes to the Test: An Evaluation on AEC Case Studies
Multidimensional Database Design from Document-Centric XML Documents
Using Transitivity to Increase the Accuracy of Sample-Based Pearson Correlation Coefficients
Computing SQL Queries with Boolean Aggregates
Customer Churn Prediction for Broadband Internet Services
Effective Reward Schemes for Tardiness Optimization
Learning Paradigms and Modelling Methodologies for Digital Twins in Process Industry
DAT@Z21: A Comprehensive Multimodal Dataset for Rumor Classification in Microblogs
Local-Aware Convolutional Modulation for Short-Term Sequential Recommendation
A Rough Connectedness Algorithm for Mining Communities in Complex Networks
Extracting Knowledge from Life Courses: Clustering and Visualization
Selection of Bitmap Join Index: Approach Based on Minimal Transversals
Mining Serial Episode Rules with Time Lags over Multiple Data Streams
Open-Source Drift Detection Tools in Action: Insights from Two Use Cases
Outlier/Anomaly Detection of Univariate Time Series: A Dataset Collection and Benchmark
Parallel K-Prototypes Clustering with High Efficiency and Accuracy
Star/Snow-Flake Schema Driven Object-Relational Data Warehouse - Design and Query Processing Strategies
Multidimensional Design by Examples
Big Data Analytics and Knowledge Discovery - 19th International Conference, DaWaK 2017, Lyon, France, August 28-31, 2017, Proceedings
Predicting Customer Churn for Insurance Data
E-Commerce Product Recommendation Using Historical Purchases and Clickstream Data
Cluster Validity Using Support Vector Machines
Text Categorization for Deriving the Application Quality in Enterprises Using Ticketing Systems
Q-VIPER: Quantitative Vertical Bitwise Algorithm to Mine Frequent Patterns
A Versioning Management Model for Ontology-Based Data Warehouses
Experience in Extending Query Engine for Continuous Analytics
Essential Patterns: A Perfect Cover of Frequent Patterns
Development of a Business Intelligence Environment for e-Gov Using Open Source Technologies
Multidimensional Integration of RDF Datasets
Monitoring Change in Mining Results
A Process Warehouse for Process Variants Analysis
Integrating Different Grain Levels in a Medical Data Warehouse Federation
Data Partitioning in Data Warehouses: Hardness Study, Heuristics and ORACLE Validation
Comprehensive Log Compression with Frequent Patterns
ActMiner: Discovering Location-Specific Activities from Community-Authored Reviews
Health Analytics on COVID-19 Data with Few-Shot Learning
Motif Alignment for Time Series Data Augmentation
Changes of Dimension Data in Temporal Data Warehouses
An Automatic Email Management Approach Using Data Mining Techniques
An Aggregate-Aware Retargeting Algorithm for Multiple Fact Data Warehouses
Data Mapper: An Operator for Expressing One-to-Many Data Transformations
Data Stream Mining with Limited Validation Opportunity: Towards Instrument Failure Prediction
HANDLE - A Generic Metadata Model for Data Lakes
Two New Techniques for Hiding Sensitive Itemsets and Their Empirical Evaluation
Revisiting Generic Bases of Association Rules
Posse: A Framework for Optimizing Incremental View Maintenance at Data Warehouse
A Fine-Grained Structural Partitioning Approach to Graph Compression
Granularity Adaptive Density Estimation and on Demand Clustering of Concept-Drifting Data Streams
Warehousing Dynamic XML Documents
AIM: Approximate Intelligent Matching for Time Series Data
The Item-Set Tree: A Data Structure for Data Mining
Parallel Consistency Maintenance of Materialized Views Using Referential Integrity Constraints in Data Warehouses
Considering Main Memory in Mining Association Rules
Partitioned Approach to Association Rule Mining over Multiple Databases
Enhancing the Apriori Algorithm for Frequent Set Counting
TARDIS: Optimal Execution of Scientific Workflows in Apache Spark
OWDEAH: Online Web Data Extraction Based on Access History
How an Ensemble Method Can Compute a Comprehensible Model
K-Means Clustering Using Homomorphic Encryption and an Updatable Distance Matrix: Secure Third Party Data Clustering with Limited Data Owner Interaction
Expectation Propagation in GenSpace Graphs for Summarization
Ad Hoc Star Join Query Processing in Cluster Architectures
Leveraging the Data Lake: Current State and Challenges
Contrastive Explanations for a Deep Learning Model on Time-Series Data
Describing Analytical Sessions Using a Multidimensional Algebra
Optimization of Association Word Knowledge Base through Genetic Algorithm
Towards an Adaptive Approach for Mining Data Streams in Resource Constrained Environments
LSiX: A Scheme for Efficient Multiple Continuous Window Aggregation Over Streams
Derivative, Regression and Time Series Analysis in SARS-CoV-2
Improving Stochastic Gradient Descent Initializing with Data Summarization
Similarity Search in Structured Data
Effects of Response Length on User Search Experience in Spoken Conversational Search
Dynamic Clustering-Based Estimation of Missing Values in Mixed Type Data
Exact Detection of Information Leakage in Database Access Control
Optimization of Sequences of Relational Queries in Decision-Support Environments
Finding N-Most Prevalent Colocated Event Sets
Rare Pattern Mining on Data Streams
Dynamic Similarity for Fields with NULL Values
A Robust Sampling-Based Framework for Privacy Preserving OLAP
Document Representations for Classification of Short Web-Page Descriptions
Frequent Item Mining When Obtaining Support Is Costly
Extending the UML for Designing Association Rule Mining Models for Data Warehouses
Exploring Dialog Act Recognition in Open Domain Conversational Agents
Exploring Evaluation Metrics for Binary Classification in Data Analysis: the Worthiness Benchmark Concept
MicroSuggest: Kernel-Aware Microservice Decomposition
Is a Voting Approach Accurate for Opinion Mining?
Utilization of Global Ranking Information in Graph- Based Biomedical Literature Clustering
RP-Tree: Rare Pattern Tree Mining
Knowledge Discovery of Complex Data Using Gaussian Mixture Models
AISS: An Index for Non-timestamped Set Subsequence Queries
DWEB: A Data Warehouse Engineering Benchmark
A Fast Algorithm for Frequent Itemset Mining Using Patricia* Structures
An Enhanced FP-Growth Algorithm with Hybrid Adaptive Support Threshold for Association Rule Mining
Hiding Classification Rules for Data Sharing with Privacy Preservation
Computing Iceberg Quotient Cubes with Bounding
Parameter Drift as a Signal for Membership Inference in Overfit-Tuned LLMs
An Information-Theoretic Framework for Process Structure and Data Mining
History-Driven View Synchronization
Ada2vec: Adaptive Representation Learning for Large-Scale Dynamic Heterogeneous Networks
Minimal Vertex Unique Labelled Subgraph Mining
Differentially-Private Neural Network Training with Private Features and Public Labels
Recent Developments in Web Usage Mining Research
Supervised Evaluation of Top-k Itemset Mining Algorithms
Fuzzy Functional Dependencies and Fuzzy Association Rules
On Making Data Warehouses Active
A Reliability-Based Approach for Influence Maximization Using the Evidence Theory
BEDAWA - A Tool for Generating Sample Data for Data Warehouses
Recommending Multidimensional Queries
A Hybrid Clustering Algorithm Based on Multi-swarm Constriction PSO and GRASP
LiteSelect: A Lightweight Adaptive Learning Algorithm for Online Index Selection
Mining Interval Time Series
A Workload-Aware Change Data Capture Framework for Data Warehousing
Big Data Analytics and Knowledge Discovery - 17th International Conference, DaWaK 2015, Valencia, Spain, September 1-4, 2015, Proceedings
Model-Driven Metadata for OLAP Cubes from the Conceptual Modelling of Data Warehouses
Estimating Joint Probabilities from Marginal Ones
An Annotation Management System for Multidimensional Databases
Discovery and Application of Functional Dependencies in Conjunctive Query Mining
Interval OLAP: Analyzing Interval Data
Semantics-Based Multidimensional Query Over Sparse Data Marts
Cyberbullying Detection in Social Networks Using Deep Learning Based Models
An Occurrence Based Approach to Mine Emerging Sequences
Supporting Hot Spots with Materialized Views
Collocation Pattern Mining in a Limited Memory Environment Using Materialized iCPI-Tree
Preprocessing for Fast Refreshing Materialized Views in DB2
Learning from Past Observations: Meta-Learning for Efficient Clustering Analyses
Data Warehousing and Knowledge Discovery, 5th International Conference, DaWaK 2003, Prague, Czech Republic, September 3-5,2003, Proceedings
A Decathlon in Multidimensional Modeling: Open Issues and Some Solutions
A Framework of the Semi-supervised Multi-label Classification with Non-uniformly Distributed Incomplete Labels
A Framework for Supporting Interoperability of Data Warehouse Islands Using XML
Managing Time Consistency for Active Data Warehouse Environments
Location Prediction Using Sentiments of Twitter Users
PROMISE: Predicting Query Behavior to Enable Predictive Caching Strategies for OLAP Systems
Upper Borders for Emerging Cubes
Real-Time Data Warehousing: A Rewrite/Merge Approach
Research Issues in Web Data Mining
Computing Join Aggregates over Private Tables
An Efficient Prototype Selection Algorithm Based on Spatial Abstraction
DRUM: A Real Time Detector for Regime Shifts in Data Streams via an Unsupervised, Multivariate Framework
Discovery, Enrichment and Disambiguation of Acronyms
Automatic Detection of Structural Changes in Data Warehouses
XML for Data Warehousing Chances and Challenges: (Extended Abstract)
Target Group Selection in Retail Banking through Neuro-Fuzzy Data Mining and Extensive Pre- and Postprocessing
Deriving Multiple Topics to Label Small Document Regions
Shared Index Scans for Data Warehouses
Web Usage Data Cleaning - A Rule-Based Approach for Weblog Data Cleaning
Incremental Data Mining Using Concurrent Online Refresh of Materialized Data Mining Views
A Novel Approach Using Context-Based Measure for Matching Large Scale Ontologies
Discovering Tight Space-Time Sequences
Automatic Selection of Bitmap Join Indexes in Data Warehouses
Non-Derivable Item Set and Non-Derivable Literal Set Representations of Patterns Admitting Negation
RDFPartSuite: Bridging Physical and Logical RDF Partitioning
A Study on Database Intrusion Detection Based on Query Execution Plans
Dynamic Data Warehousing (abstract)
FastFDs: A Heuristic-Driven, Depth-First Algorithm for Mining Functional Dependencies from Relation Instances - Extended Abstract
A Multiversion-Based Multidimensional Model
Mining Fuzzy Contextual Preferences
Improved Programming-Language Independent MapReduce on Shared-Memory Systems
From Temporal Rules to Temporal Meta-rules
OPTIMA: Framework Selecting Optimal Virtual Model to Query Large Heterogeneous Data
Community Detection in Who-calls-Whom Social Networks
Mining Frequent Seasonal Gradual Patterns
Parallel Co-clustering with Augmented Matrices Algorithm with Map-Reduce
XML-OLAP: A Multidimensional Analysis Framework for XML Warehouses
New Challenges in Information Integration
Contextual Shift Method (CSM)
Mining Conditional Cardinality Patterns for Data Warehouse Query Optimization
Region of Interest Based Image Categorization
Fraud Formalization and Detection
Graph BI & Analytics: Current State and Future Challenges
Processing OLAP Queries over an Encrypted Data Warehouse Stored in the Cloud
Efficient Mining of Dissociation Rules
Document Ranking for Curated Document Databases Using BERT and Knowledge Graph Embeddings: Introducing GRAB-Rank
Calculation of Density-Based Clustering Parameters Supported with Distributed Processing
Debate Stance Classification Using Word Embeddings
Clustering for Video Retrieval
Managing Meta Objects for Design of Warehouse Data
Bitwise Vertical Mining of Minimal Rare Patterns
A Bayesian Reinforcement Learning Framework for Online Index Tuning
COBRA: Closed Sequential Pattern Mining Using Bi-phase Reduction Approach
Optimizing Queue-Based Semi-Stream Joins with Indexed Master Data
Modeling Data Flow Execution in a Parallel Environment
Designing Web Warehouses from XML Schemas
FairMC Fair-Markov Chain Rank Aggregation Methods
Clustered Dynamic Conditional Correlation Multivariate GARCH Model
Automatically Tailoring Semantics-Enabled Dimensions for Movement Data Warehouses
A Heterogeneous Clustering Approach for Human Activity Recognition
Mining Closed Itemsets in Data Stream Using Formal Concept Analysis
On the Importance of Tuning in Incremental View Maintenance: An Experience Case Study
DAMISYS: An Overview
Leveraging Hierarchy and Community Structure for Determining Influencers in Networks
Warehousing Manufacturing Data - A Holistic Process Warehouse for Advanced Manufacturing Analytics
Yet Another Algorithms for Selecting Bitmap Join Indexes
Belief Temporal Analysis of Expert Users: Case Study Stack Overflow
A General Effective Framework for Monotony and Tough Constraint Based Sequential Pattern Mining
Learning Actions in Complex Software Systems
Top_Keyword: An Aggregation Function for Textual Document OLAP
Data Warehousing and Knowledge Discovery - 14th International Conference, DaWaK 2012, Vienna, Austria, September 3-6, 2012. Proceedings
Mining Temporal Patterns from Health Care Data
Performance Tests in Data Warehousing ETLM Process for Detection of Changes in Data Origin
Discovering Semantic Sibling Associations from Web Documents with XTREEM-SP
Intrusion Detection via Analysis and Modelling of User Commands
A Machine Learning Approach to Identifying Database Sessions Using Unlabeled Data
A Greedy Approach to Concurrent Processing of Frequent Itemset Queries
Incremental SMOTE with Control Coefficient for Classifiers in Data Starved Medical Applications
Uncoupled MapReduce: A Balanced and Efficient Data Transfer Model
An Analytics-Aware Conceptual Model for Evolving Graphs
Built-In Indicators to Discover Interesting Drill Paths in a Cube
An Extensible Metadata Framework for Data Quality Assessment of Composite Structures
A Method for Feature Selection on Microarray Data Using Support Vector Machine
On Complementarity of Cluster and Outlier Detection Schemes
Weighted K-Means for Density-Biased Clustering
An Extendible Array Based Implementation of Relational Tables for Multi Dimensional Databases
Electric Vehicle Charging Station Deployment for Minimizing Construction Cost
Preview: Optimizing View Materialization Cost in Spatial Data Warehouses
Evaluation of High Sparsity Strategies for Efficient Binary Classification
Enforcing Privacy in Cloud Databases
Towards a Novel OLAP Interface for Distributed Data Warehouses
A Temporal Study of Data Sources to Load a Corporate Data Warehouse
A review of usable EEG-based solutions for epileptic seizure prediction
Misbehavior detection systems in IoT environment: A survey
Duplication-Driven Distributional Topic Modeling: A Catalyst for Strengthened Classification and Semantic Graphs
Toward Reinforcement Learning-based Framework for Workflow Migration: Position Paper
Temporal Constraints in Smart Contract-Based Process Execution: A Case Study of Organ Transfer by Healthcare Delivery Drone
Proceedings of the Tunisian-Algerian Joint Conference on Applied Computing (TACC 2022) Laboratoire Mixte d'Excellence Scientifique Tuniso-Algérien, Constantine, Algeria, December 13-14, 2022
Proceedings of the Tunisian-Algerian Joint Conference on Applied Computing (TACC 2021), Tabarka, Tunisia, December 18-20, 2021
A deep learning-based approach for segmenting and counting reproductive organs from digitized herbarium specimen images using refined Mask Scoring R-CNN
TUNisia-Italy Cross-Border Environment Net platform for emergency response (NETTUNIT): project presentation and early results
Machine Learning-based Intrusion Detection System Against Routing Attacks in the Internet of Things
A Data-based Guiding Framework for Digital Transformation
Enhancing Container Runtime Security: A Case Study in Threat Detection
Improvement of Differential Evolution with Multipopulation-based Ensemble of Mutation Strategies
Parsing Arabic using deep learning technology
Improving the supply chain management via Blockchain: an olive oil case study
Proceedings of the 3rd Tunisian-Algerian Joint Conference on Applied Computing (TACC 2023), Sousse, Tunisia, November 8-10, 2023