Data Mining
- Beziehungen:
-
- Efficient Point-Based Trajectory Search
- PatManQL: A Language to Manipulate Patterns and Data in Hierarchical Catalogs
- HINT: A Hierarchical Index for Intervals in Main Memory
- Exact and Approximate Algorithms for Finding k-Shortest Paths with Limited Overlap
- Interval Count Semi-Joins
- Band Joins for Interval Data
- RRAMEN: An Interactive Tool for Evaluating Choices and Changes in Transportation Networks
- Caching Dynamic Skyline Queries
- Finding k-Dissimilar Paths with Minimum Collective Length
- Efficient Top-k Spatial Distance Joins
- Evaluating Reachability Queries over Path Collections
- Routing directions: keeping it fast and simple
- Routing Directions: Keeping it Fast and Simple
- LocalRec'15: Workshop on Location-Aware Recommendations
- The Fourth ACM SIGSPATIAL Workshop on Location-Based Recommendations, Geosocial Networks and Geoadvertising
- Two-layer Space-oriented Partitioning for Non-point Data
- Efficient redundancy reduced subgroup discovery via quadratic programming
- A structural cluster kernel for learning on graphs
- Hub-centered gene network reconstruction using automatic relevance determination
- Predicting the lung compliance of mechanically ventilated patients via statistical modeling
- Towards electric mobility data mining
- Scalable induction of probabilistic real-time automata using maximum frequent pattern based clustering
- Maximum common subgraph based locally weighted regression
- Multi-label classification using Boolean matrix decomposition
- Online estimation of discrete densities
- A large-scale empirical evaluation of cross-validation and external test set validation in (Q)SAR
- Similarity boosted quantitative structure-activity relationship : a systematic study of enhancing structural descriptors by molecular similarity
- Model selection based product kernel learning for regression on graphs
- Improving structural similarity based virtual screening using background knowledge
- Incremental linear model trees on massive datasets : keep it simple, keep it fast
- Adapted transfer of distance measures for quantitative structure-activity relationships and data-driven selection of source datasets
- Learning probabilistic real-time automata from multi-attribute event logs
- Finding relational associations in HIV resistance mutation data
- Integrating background knowledge from internet databases into predictive toxicology models
- Mining class-correlated patterns for sequence labeling
- Predicting biodegradation products and pathways : a hybrid knowledge- and machine learning-based approach
- Equation discovery for model identification in respiratory mechanics of the mechanically ventilated human lung
- Integer linear programming models for constrained clustering
- Latent structure pattern mining
- Adapted transfer of distance measures for quantitative structure-activity relationships
- Online structural graph clustering using frequent subgraph mining
- Fast conditional density estimation for quantitative structure-activity relationships
- Pitfalls of supervised feature selection
- Collaborative development of predictive toxicology applications
- Interpreting PET scans by structured patient data : a data mining case study in dementia research
- SINDBAD and SiQL : overview, applications and future developments
- Decoupling sparsity and smoothness in the Dirichlet variational autoencoder topic model
- Ensembles of randomized time series shapelets provide improved accuracy while reducing computational costs
- CheS-Mapper : Chemical Space Mapping and visualization in 3D
- Constrained latent dirichlet allocation for subgroup discovery with topic rules
- Scavenger : a framework for efficient evaluation of dynamic and modular algorithms
- A nonlinear label compression and transformation method for multi-label classification using autoencoders
- Trading off accuracy for efficiency by randomized greedy warping
- A hybrid machine learning and knowledge based approach to limit combinatorial explosion in biodegradation prediction
- Cinema audiences reproducibly vary the chemical composition of air during films, by broadcasting scene specific emissions on breath
- Cinema data mining : the smell of fear
- Privacy-preserving pattern mining on online density estimates
- Convolutional neural networks for the identification of regions of interest in PET scans : a study of representation learning for diagnosing Alzheimer’s disease
- Gaussian mixture models and model selection for [18F] fluorodeoxyglucose positron emission tomography classification in Alzheimer's disease
- On the spectrum between binary relevance and classifier chains in multi-label classification
- Efficient redundancy reduced subgroup discovery via quadratic programming
- Alternating model trees
- Multi-label classification using stacked hierarchical dirichlet processes with reduced sampling complexity
- Online sparse collapsed hybrid variational-gibbs algorithm for hierarchical Dirichlet process topic models
- The best privacy defense is a good privacy offense : obfuscating a search engine user's profile
- A probabilistic condensed representation of data for stream mining
- CheS-Mapper 2.0 for visual validation of (Q)SAR models
- Prototype-based learning on concept-drifting data streams
- Pruning incremental linear model trees with approximate lookahead
- Online induction of probabilistic real-time automata
- Extracting information from support vector machines for pattern-based classification
- Structural clustering of millions of molecular graphs
- Identification of ELF3 as an early transcriptional regulator of human urothelium
- BMaD : a boolean matrix decomposition framework
- Survival analysis, the infinite Gaussian mixture model, FDG-PET and non-imaging data in the prediction of progression from mild cognitive impairment
- Modeling recurrent distributions in streams using possible worlds
- enviPath : the environmental contaminant biotransformation pathway resource
- Graph clustering with Density-Cut
- Accelerating pattern-based time series classification : a linear time and space string mining approach
- Innovative strategies to develop chemical categories using a combination of structural and toxicological properties
- Filtered circular fingerprints improve either prediction or runtime performance while retaining interpretability
- Rule Extraction From Binary Neural Networks With Convolutional Rules for Model Validation
- Data-driven extraction of relative reasoning rules to limit combinatorial explosion in biodegradation pathway prediction
- Interpreting PET scans by structured patient data : a data mining case study in dementia research
- Kernel-based inductive transfer
- SINDBAD and SiQL : an inductive database and query language in the relational model
- Inductive logic programming for gene regulation prediction
- Margin-based first-order rule learning
- Enhancing navigation in biomedical databases by community voting and database-driven text classification
- Identifying mathematical models of the mechanically ventilated lung using equation discovery
- Large-scale graph mining using backbone refinement classes
- Prediction of mechanical lung parameters using gaussian process models
- Subgroup discovery for test selection : a novel approach and its application to breast cancer diagnosis
- Data-efficient information-theoretic test selection
- A study of hierarchical and flat classification of proteins
- Molecular feature mining in HIV data
- Feature construction with version spaces for biochemical applications
- The Levelwise Version Space Algorithm and Its Application to Molecular Fragment Finding
- Analysis of respiratory pressure-volume curves in intensive care medicine using symbolic machine learning
- Data mining in genome annotation
- Ensembles of nested dichotomies for multi-class problems
- Towards tight bounds for rule learning
- Frequent free tree discovery in graph data
- Interactive metamodel-compliance checking of requirements in a semiformal representation
- Fast frequent string mining using suffix arrays
- Ensembles of balanced nested dichotomies for multi-class problems
- Machine learning and data mining
- Margin-based first-order rule learning
- A statistical approach to rule learning
- Analyzing microarray data using quantitative association rules
- Extending function point analysis to object-oriented requirements specifications
- Optimal string mining under frequency constraints
- An interactive guide through a defined modelling process
- Demand-driven construction of structural features in ILP
- Data quality in predictive toxicology : reproducibility of rodent carcinogenicity experiments
- Prediction of ordinal classes using regression trees
- Inducing classification and regression trees in first order logic
- Propositionalization approaches to relational data mining
- Phase transitions and stochastic local search in k-term DNF learning
- Inductive databases for bio- and chemo-informatics
- Stochastic local search in k-Term DNF learning
- A Survey of the predictive toxicology challenge 2000-2001
- Statistical evaluation of the predictive toxicology challenge 2000-2001
- Fragment generation and support vector machines for inducing SARs
- Towards discovering structural signatures of Protein folds based on logical hidden Markov models
- Data mining and machine learning techniques for the identification of mutagenicity inducing substructures and structure activity relationships of noncongeneric compounds
- Experiments in predicting biodegradability
- Quantitative association rules based on half-spaces : an optimization approach
- Coupling and cohesion metrics for knowledge-based systems using frames and rules
- Inductive logic programming for gene regulation prediction
- Leveraging chemical background knowledge for the prediction of growth inhibition
- A new representation for protein secondary structure prediction based on frequent patterns
- Learning a predictive model for growth inhibition from the NCI DTP human tumor cell line screening data : does gene expression make a difference?
- Introduction to the special issue on multi-relational data mining and statistical relational learning
- Three data mining techniques to improve lazy structure-activity relationships for non-congeneric compounds
- Margin-based first-order rule learning
- HINT: a hierarchical interval index for Allen relationships
- Neural RELAGGS.
- Forecast of Study Success in the STEM Disciplines Based Solely on Academic Records.
- Pairwise Learning to Rank by Neural Networks Revisited: Reconstruction, Theoretical Analysis and Practical Performance.
- Pairwise Learning to Rank by Neural Networks Revisited: Reconstruction, Theoretical Analysis and Practical Performance.
- Neural RELAGGS
- Pairwise Learning to Rank by Neural Networks Revisited: Reconstruction, Theoretical Analysis and Practical Performance
- PIEJoin: Towards Parallel Set Containment Joins
- Invariant Representations with Stochastically Quantized Neural Networks
- Topic-Guided Knowledge Graph Construction for Argument Mining
- Machine Learning and Knowledge Discovery in Databases. Research Track - European Conference, ECML PKDD 2021, Bilbao, Spain, September 13-17, 2021, Proceedings, Part I
- Machine Learning and Knowledge Discovery in Databases. Research Track - European Conference, ECML PKDD 2021, Bilbao, Spain, September 13-17, 2021, Proceedings, Part II
- Machine Learning and Knowledge Discovery in Databases. Research Track - European Conference, ECML PKDD 2021, Bilbao, Spain, September 13-17, 2021, Proceedings, Part III
- Fair pairwise learning to rank
- A Brief History of Learning Symbolic Higher-Level Representations from Data (And a Curious Look Forward)
- Exploring Multi-Objective Optimization for Multi-Label Classifier Ensembles
- A Survey of Multi-Label Topic Models
- Modeling Multi-label Recurrence in Data Streams
- ECML PKDD 2018 Workshops - Nemesis 2018, UrbReas 2018, SoGood 2018, IWAISe 2018, and Green Data Mining 2018, Dublin, Ireland, September 10-14, 2018, Proceedings
- Inductive Database Approach to Graphmining
- An inductive database and query language in the relational model
- Analyzing microarray data using quantitative association rules
- Inductive Databases in the Relational Model: The Data as the Bridge
- Extending Function Point Analysis of Object-Oriented Requirements Specifications
- The Predictive Toxicology Challenge 2000-2001
- Inductive Logic Programming, 15th International Conference, ILP 2005, Bonn, Germany, August 10-13, 2005, Proceedings
- Semiautomatic Generation of Glossary Links: A Practical Solution
- Prediction of Ordinal Classes Using Regression Trees
- Combining Structure Search and Content Search for the World-Wide Web
- Stochastic Propositionalization of Non-determinate Background Knowledge
- Experiments in Predicting Biodegradability
- A Case Study of Decomposing Functional Requirements Using Scenarios
- Multiple instance learning to predict immune checkpoint blockade efficacy using neoantigen candidates
- enviPath--The environmental contaminant biotransformation pathway resource
- Eawag-Soil in enviPath: a new resource for exploring regulatory pesticide soil biodegradation pathways and half-life data
- Analysis of respiratory pressure-volume curves in intensive care medicine using inductive machine learning
- Identifying volatile organic compounds used for olfactory navigation by homing pigeons
- Machine learning for a combined electroencephalographic anesthesia index to detect awareness under anesthesia
- Stockholm declaration on AI ethics: why others should sign
- Two-Layer Space-Oriented Partitioning for Non-Point Data
- Inductive Database Approach to Graphmining
- Optimizing Feature Sets for Structured Data
- Finding k-shortest paths with limited overlap
- Finding The Most Preferred Path
- Integrating LSTMs with Online Density Estimation for the Probabilistic Forecast of Energy Consumption
- Deep Neural Networks to Recover Unknown Physical Parameters from Oscillating Time Series
- An efficient and provably-secure coercion-resistant e-voting protocol
- Minimal assumptions to achieve privacy in e-voting protocols
- An efficient statistical zero-knowledge authentication protocol for smart cards
- FORSAKES: A FORWARD-SECURE AUTHENTICATED KEY EXCHANGE PROTOCOL BASED ON SYMMETRIC KEY-EVOLVING SCHEMES
- Fast Private Parameter Learning and Inference for Sum-Product Networks
- SESOS: A Verifiable Searchable Outsourcing Scheme for Ordered Structured Data in Cloud Computing
- Moderated Redactable Blockchains: A Definitional Framework with an Efficient Construct
- In-Memory Interval Joins
- A Two-layer Partitioning for Non-point Spatial Data
- Top-k spatial distance joins
- SRX: efficient management of spatial RDF data
- Spatial joins
- Parallel In-Memory Evaluation of Spatial Joins
- Relative Reachability Analysis as a Tool for Urban Mobility Planning (Position Paper)
- Set Similarity Joins on MapReduce: An Experimental Survey
- Snapshot and continuous points-based trajectory search
- A Forward Scan based Plane Sweep Algorithm for Parallel Interval Joins
- Set containment join revisited
- An Empirical Evaluation of Set Similarity Join Techniques
- An effective encoding scheme for spatial RDF data
- Spatio-textual similarity joins
- Evaluating Path Queries over Frequently Updated Route Collections
- Top-k String Similarity Joins
- Finding k-Dissimilar Paths with Minimum Collective Length
- Alternative routing: k-shortest paths with limited overlap
- Regionally influential users in location-aware social networks
- Evaluating path queries over route collections
- Mining user navigation patterns for personalizing topic directories
- Efficient answering of set containment queries for skewed item distributions
- Dynamic Pickup and Delivery with Transfers
- Localrec 2017 workshop report: the First ACM SIGSPATIAL Workshop on Recommendations for Location-Based Services and Social Networks
- LocalRec 2018 workshop report the second ACM SIGSPATIAL workshop on recommendations for location-based services and social networks * Seattle, Washington, USA - November 6, 2018
- Set Containment Join Revisited
- A Two-level Spatial In-Memory Index
- Processing Satellite Imagery for Decision-Making in Precision Agriculture
- Discriminative machine learning for maximal representative subsampling
- Deep neural networks to recover unknown physical parameters from oscillating time series
- Parallel In-Memory Evaluation of Spatial Joins
- A Fair Experimental Comparison of Neural Network Architectures for Latent Representations of Multi-Omics for Drug Response Prediction
- A fair experimental comparison of neural network architectures for latent representations of multi-omics for drug response prediction
- Four-dimensional trapped ion mobility spectrometry lipidomics for high throughput clinical profiling of human blood samples
- Identifying Aircraft Motions and Patterns from Magnetometry Data Using a Knowledge-Based Multi-Fusion Approach
- Online density estimation of heterogeneous data streams in higher dimensions
- An in-depth experimental comparison of RNTNs and CNNs for sentence modeling
- Privacy preserving client/vertical-servers classification
- Modeling recurring concepts in data streams : a graph-based framework
- A label compression method for online multi-label classification
- Forest of normalized trees : fast and accurate density estimation of streaming data
- A case study of stacked multi-view learning in dementia research
- Multi-label classification using stacked hierarchical Dirichlet processes with reduced sampling complexity
- Online multi-label dependency topic models for text classification
- Clustering with attribute-level constraints
- Graph clustering with local density-cut
- Exploring multiobjective optimization for multiview clustering
- Online estimation of discrete, continuous, and conditional joint densities using classifier chains
- The augmented itemset tree : a data structure for online maximum frequent pattern mining
- What can we learn from the air chemistry of crowds?
- An inductive learning perspective on automated generation of feature models from given product specifications
- Parallel structural graph clustering
- Predicting a small molecule-kinase interaction map : a machine learning approach
- Using local models to improve (Q)SAR predictivity
- Improving structure alignment-based prediction of SCOP families using Vorolign kernels
- A numerical refinement operator based on multi-instance learning
- Efficient mining for structurally diverse subgraph patterns in large molecular databases
- Online induction of probabilistic real time automata
- Classifying Aircraft Categories from Magnetometry Data Using a Hypotheses-Based Multi-Task Framework
- Secure Sum Outperforms Homomorphic Encryption in (Current) Collaborative Deep Learning
Besitzt PublikationDie Publikationsliste für die Kategorie "Organisationseinheit" zeigt alle Publikationen, die der einzelnen Organisationseinheit direkt zugeordnet sind. Für eine Liste, die auch alle Publikationen von untergeordneten Organisationseinheiten inkludiert, nutzen Sie die Liste in der Facette "Organisationseinheit".
UmfasstTeil von