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Relational Data Mining

https://doi.org/10.1007/978-3-662-04599-2
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A Unified Recommendation Framework Based on Probabilistic Relational Models
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Link-based Classification
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Data Summarization Approach to Relational Domain Learning Based on Frequent Pattern to Support the Development of Decision Making
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(Agnostic) PAC Learning Concepts in Higher-Order Logic
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A Text Mining Agents Based Architecture for Personal E-mail Filtering and Management
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Involving Aggregate Functions in Multi-relational Search
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Learning with Concept Hierarchies in Probabilistic Relational Data Mining
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How Similar Is It? Towards Personalized Similarity Measures in Ontologies
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Logics for Data Mining
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Inductive Logic Programming
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Relational Learning
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Statistical Relational Learning
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Machine Learning Background
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Propositionalization of Relational Data
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Many Faces of Representation Learning
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Interpretable Feature Construction for Time Series Extrinsic Regression
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World Cup of Flags: A Multi-relational Competitive Vexillology Dataset from Twitter
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Relevance Measures for Multivalued Attributes in Multiclass Datasets
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A Brief Overview of Rule Learning
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Relational Data Mining in the Era of Big Data
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The GUHA Method and Foundations of (Relational) Data Mining
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Logic Programs with Annotated Disjunctions
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Logical Markov Decision Programs and the Convergence of Logical TD(λ)
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Learning Logic Programs with Annotated Disjunctions
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Towards a Statistically Semantic Web
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First-Order Rules Mining Guided by Information Gain
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Application of Inductive Logic Programming to Structure-Based Drug Design
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A Multi-relational Decision Tree Learning Algorithm – Implementation and Experiments
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Protection of Database Security Via Collaborative Inference Detection
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Learning Recursive Patterns for Biomedical Information Extraction
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The Study of Dynamic Aggregation of Relational Attributes on Relational Data Mining
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Logic and the Automatic Acquisition of Scientific Knowledge: An Application to Functional Genomics
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Top-Down Induction of Relational Model Trees in Multi-instance Learning
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Partitional Conceptual Clustering of Web Resources Annotated with Ontology Languages
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Directions for Future Research on the Automatic Design of Data Mining Algorithms
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Relational Frequent Patterns Mining for Novelty Detection from Data Streams
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A Sliding Window Algorithm for Relational Frequent Patterns Mining from Data Streams
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Logical Languages for Data Mining
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Classification of Multi-relational Databases
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Algorithms for Subnetwork Mining in Heterogeneous Networks
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Rough-Granular Computing Based Relational Data Mining
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Competence Region Modelling in Relational Classification
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Learning with Configurable Operators and RL-Based Heuristics
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Itemset-Based Variable Construction in Multi-relational Supervised Learning
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Probing the Space of Optimal Markov Logic Networks for Sequence Labeling
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ILP Characterization of 3D Protein-Binding Sites and FCA-Based Interpretation
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Propositionalization Online
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Towards Automatic Feature Construction for Supervised Classification
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A relational approach to probabilistic classification in a transductive setting
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DFP-SEPSF: A dynamic frequent pattern tree to mine strong emerging patterns in streamwise features
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Diagnosis using a first-order stochastic language that learns
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ILP-based concept discovery in multi-relational data mining
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A comparative study on ILP-based concept discovery systems
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The GUHA method and its meaning for data mining
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Gene Function Hypotheses for the Campylobacter jejuni Glycome Generated by a Logic-Based Approach
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A new relational learning system using novel rule selection strategies
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Concept discovery on relational databases: New techniques for search space pruning and rule quality improvement
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MEFASD-BD: Multi-objective evolutionary fuzzy algorithm for subgroup discovery in big data environments - A MapReduce solution
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Kernel framework based on non-negative matrix factorization for networks reconstruction and link prediction
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Refinement operators for directed labeled graphs with applications to instance-based learning
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Relational tree ensembles and feature rankings
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Link prediction by adversarial Nonnegative Matrix Factorization
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A preliminary empirical comparison of recursive neural networks and tree kernel methods on regression tasks for tree structured domains
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Label-dependent node classification in the network
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Tree Echo State Networks
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Relational mining for discovering changes in evolving networks
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The tetratricopeptide repeats (TPR)-like superfamily of proteins in Leishmania spp., as revealed by multi-relational data mining
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Link prediction based on the mutual information with high-order clustering structure of nodes in complex networks
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Ranking Sentences for Keyphrase Extraction: A Relational Data Mining Approach
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Mining Neuroscience Data for Social Campaign Evaluation
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Customer segmentation in a large database of an online customized fashion business
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Semantic Web in data mining and knowledge discovery: A comprehensive survey
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Data mining a diabetic data warehouse
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Active subgroup mining: a case study in coronary heart disease risk group detection
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Chapter 17 Fuzzy logic aggregation for semantic web search for the best (top-k) answer
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Logic-based event recognition
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CP-logic: A language of causal probabilistic events and its relation to logic programming
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The role of semantics in mining frequent patterns from knowledge bases in description logics with rules
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Inductive Logic Programming in Databases: From Datalog to
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Discovering H-Bonding Rules in Crystals with Inductive Logic Programming
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Fast Theta-Subsumption with Constraint Satisfaction Algorithms
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Multi-Relational Learning, Text Mining, and Semi-Supervised Learning for Functional Genomics
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