yusuke1997/dblp-id-title huggingface dataset:
BDRI: block decomposition based on relational interaction for knowledge graph completion
tPARAFAC2: tracking evolving patterns in (incomplete) temporal data
Uplift modeling with quasi-loss-functions
Tiers for peers: a practical algorithm for discovering hierarchy in weighted networks
Very fast decision rules for classification in data streams
Mining the Semantic Web - Statistical learning for next generation knowledge bases
Robust finite mixture regression for heterogeneous targets
Using Convex Sets for Exploratory Data Analysis and Visualization
Non-derivable itemset mining
Improving embedded knowledge graph multi-hop question answering by introducing relational chain reasoning
Classification and legality analysis of bowling action in the game of cricket
Design and evaluation of highly accurate smart contract code vulnerability detection framework
Mathematical Programming in Data Mining
Interplay between topology and edge weights in real-world graphs: concepts, patterns, and an algorithm
Efficient set-valued prediction in multi-class classification
Knowledge graph embedding closed under composition
A disk-aware algorithm for time series motif discovery
Introducing time series snippets: a new primitive for summarizing long time series
Efficient histogram dictionary learning for text/image modeling and classification
TED: related party transaction guided tax evasion detection on heterogeneous graph
MultiRocket: multiple pooling operators and transformations for fast and effective time series classification
An adaptive algorithm for anomaly and novelty detection in evolving data streams
On Leveraging User Access Patterns for Topic Specific Crawling
The inner and outer approaches to the design of recursive neural architectures
A clustering comparison measure using density profiles and its application to the discovery of alternate clusterings
Matrix sketching for supervised classification with imbalanced classes
Robust active attacks on social graphs
Clustering for heterogeneous information networks with extended star-structure
Comparison of local outlier detection techniques in spatial multivariate data
Comparing apples and oranges: measuring differences between exploratory data mining results
Matching samples of multiple views
High Performance OLAP and Data Mining on Parallel Computers
A new class of metrics for learning on real-valued and structured data
Structural Hidden Markov Models Using a Relation of Equivalence: Application to Automotive Designs
Correction to: A unified view of density-based methods for semi-supervised clustering and classification
Detecting singleton spams in reviews via learning deep anomalous temporal aspect-sentiment patterns
Bayesian mean-parameterized nonnegative binary matrix factorization
Bayesian network Motifs for reasoning over heterogeneous unlinked datasets
Adjusting for scorekeeper bias in NBA box scores
Finding reliable subgraphs from large probabilistic graphs
Parameterized low-rank binary matrix approximation
HARPA: hierarchical attention with relation paths for knowledge graph embedding adversarial learning
Affinity analysis for studying physicians' prescription behavior
HIL-Tree: A Hierarchical Structure for Guiding Search into Test and Measurement Data Archives
Active hashing and its application to image and text retrieval
A kernel-based trend pattern tracking system for portfolio optimization
All normalized anti-monotonic overlap graph measures are bounded
Spatial neighborhood based anomaly detection in sensor datasets
Sufficient dimension reduction for average causal effect estimation
Data Cube: A Relational Aggregation Operator Generalizing Group-by, Cross-Tab, and Sub Totals
Mondrian forest for data stream classification under memory constraints
Model-free inference of diffusion networks using RKHS embeddings
Measuring the component overlapping in the Gaussian mixture model
Cluster-based trajectory segmentation with local noise
Provenance Network Analytics - An approach to data analytics using data provenance
Computing exact P-values for community detection
Z-Time: efficient and effective interpretable multivariate time series classification
Homophily outlier detection in non-IID categorical data
On the impact of multi-dimensional local differential privacy on fairness
Introduction to the special issue of the ECML PKDD 2021 journal track
Affinity-driven blog cascade analysis and prediction
An efficient approach to external cluster assessment with an application to martian topography
Intention enhanced mixed attentive model for session-based recommendation
Kernel mixture model for probability density estimation in Bayesian classifiers
Generalized core maintenance of dynamic bipartite graphs
Mining strong relevance between heterogeneous entities from unstructured biomedical data
Implicit consensus clustering from multiple graphs
Opinion dynamics in social networks incorporating higher-order interactions
Time series extrinsic regression
Scaling Kernel-Based Systems to Large Data Sets
A preconditioned conjugate gradient algorithm for GeneRank with application to microarray data mining
Proximity Forest: an effective and scalable distance-based classifier for time series
ArcMatch: high-performance subgraph matching for labeled graphs by exploiting edge domains
Time series motifs discovery under DTW allows more robust discovery of conserved structure
Mining Frequent Patterns without Candidate Generation: A Frequent-Pattern Tree Approach
Evolutionary soft co-clustering: formulations, algorithms, and applications
A Sequential Monte Carlo Method for Bayesian Analysis of Massive Datasets
Learning Bayesian networks by hill climbing: efficient methods based on progressive restriction of the neighborhood
Sampling and Subsampling for Cluster Analysis in Data Mining: With Applications to Sky Survey Data
Learning edge weights in file co-occurrence graphs for malware detection
Adaptive interactive network component ensemble for streaming data with concept drift
Modelling event sequence data by type-wise neural point process
Multiple instance learning via Gaussian processes
Stable and actionable explanations of black-box models through factual and counterfactual rules
EACD: evolutionary adaptation to concept drifts in data streams
Exploring the diverse world of SAX-based methodologies
Exploiting sensor data in professional road cycling: personalized data-driven approach for frequent fitness monitoring
Correction to: Bias characterization, assessment, and mitigation in location-based recommender systems
Discovering Robust Knowledge from Databases that Change
Exact indexing for massive time series databases under time warping distance
The Hadamard decomposition problem
Knowledge graph completion based on asymmetric translation and automatic entity type representation
kNN matrix profile for knowledge discovery from time series
Ethological data mining: an automata-based approach to extract behavioral units and rules
Guided sampling for large graphs
Labeled directed acyclic graphs: a generalization of context-specific independence in directed graphical models
Finding Frequent Patterns in a Large Sparse Graph *
High-Performance Commercial Data Mining: A Multistrategy Machine Learning Application
Improving graph-based recommendation with unraveled graph learning
Neural and Wavelet Network Models for Financial Distress Classification
Scalable classifier-agnostic channel selection for multivariate time series classification
Streaming changepoint detection for transition matrices
Nonnegative tensor factorization as an alternative Csiszar-Tusnady procedure: algorithms, convergence, probabilistic interpretations and novel probabilistic tensor latent variable analysis algorithms
Model-agnostic feature importance and effects with dependent features: a conditional subgroup approach
Toward online node classification on streaming networks
Credible seed identification for large-scale structural network alignment
An effective and versatile distance measure for spatiotemporal trajectories
ROCKET: exceptionally fast and accurate time series classification using random convolutional kernels
XTRACT: Learning Document Type Descriptors from XML Document Collections
Tour recommendation for groups
Dynamic graph summarization: a tensor decomposition approach
Finding Frequent Patterns Using Length-Decreasing Support Constraints
Principal Direction Divisive Partitioning
MMA: metadata supported multi-variate attention for onset detection and prediction
Toward knowledge-rich data mining
Mining urban events from the tweet stream through a probabilistic mixture model
Fish swarm parameter self-tuning for data streams
Better trees: an empirical study on hyperparameter tuning of classification decision tree induction algorithms
Knowledge base completion by learning pairwise-interaction differentiated embeddings
Exploiting the roles of aspects in personalized POI recommender systems
Adaptive multimodal graph learning for knowledge graph completion
For real: a thorough look at numeric attributes in subgroup discovery
Classification of streaming time series under more realistic assumptions
A comprehensive taxonomy for explainable artificial intelligence: a systematic survey of surveys on methods and concepts
Novel features for time series analysis: a complex networks approach
Expected passes
Web log analysis: a review of a decade of studies about information acquisition, inspection and interpretation of user interaction
On the Use of Wavelet Decomposition for String Classification
Parallel Algorithms for Discovery of Association Rules
Interpretable time series classification using linear models and multi-resolution multi-domain symbolic representations
Locally adaptive metrics for clustering high dimensional data
Wisdom of the contexts: active ensemble learning for contextual anomaly detection
Optimizing dynamic time warping's window width for time series data mining applications
Variational auto-encoder based Bayesian Poisson tensor factorization for sparse and imbalanced count data
Using instance-level constraints in agglomerative hierarchical clustering: theoretical and empirical results
Attributed network embedding via subspace discovery
Robust subgroup discovery
Multiscale event detection in social media
Survey on distance metric learning and dimensionality reduction in data mining
Mining functional dependencies from data
Early abandoning and pruning for elastic distances including dynamic time warping
Statistical Models for Data Mining
Counterfactual explanations as interventions in latent space
DeepTable: a permutation invariant neural network for table orientation classification
Universal representation learning for multivariate time series using the instance-level and cluster-level supervised contrastive learning
Column-coherent matrix decomposition
Active learning with biased non-response to label requests
Social centrality using network hierarchy and community structure
Robust and sparse multinomial regression in high dimensions
BSig: evaluating the statistical significance of biclustering solutions
Detecting inconsistency in biological molecular databases using ontologies
A practical approximation algorithm for optimal k-anonymity
Large scale K-means clustering using GPUs
Properties of the sample estimators used for statistical normalization of feature vectors
Central node identification via weighted kernel density estimation
Topical network embedding
Fairness in vulnerable attribute prediction on social media
Detach-ROCKET: sequential feature selection for time series classification with random convolutional kernels
MSQL: A Query Language for Database Mining
A generalized taxonomy of explanations styles for traditional and social recommender systems
Explanatory artificial intelligence (YAI): human-centered explanations of explainable AI and complex data
Correction: Marginal effects for non-linear prediction functions
CompTrails: comparing hypotheses across behavioral networks
Learning influence from heterogeneous social networks
Exact and efficient top-K inference for multi-target prediction by querying separable linear relational models
Learning a symbolic representation for multivariate time series classification
Efficient mixture model for clustering of sparse high dimensional binary data
Anomaly detection in sleep: detecting mouth breathing in children
Efficient Adaptive-Support Association Rule Mining for Recommender Systems
Customer relationship management and Web mining: the next frontier
Stratify: unifying multi-step forecasting strategies
Erratum to: Mining local and tail dependence structures based on pointwise mutual information
Unsupervised domain adaptation with non-stochastic missing data
The network-untangling problem: from interactions to activity timelines
Ranking episodes using a partition model
Overlapping community detection with a new modularity measure in directed weighted networks
Parameter learning in hybrid Bayesian networks using prior knowledge
Extending inverse frequent itemsets mining to generate realistic datasets: complexity, accuracy and emerging applications
A probabilistic model for API contract specification retrieval focusing on the openAPI standard
EmbAssi: embedding assignment costs for similarity search in large graph databases
Learning a Bayesian network with multiple latent variables for implicit relation representation
Differentially private nearest neighbor classification
A Microeconomic View of Data Mining
A tutorial on statistically sound pattern discovery
Customer Lifetime Value Models for Decision Support
PersAD: adversarial protection against text-based personality inference
Developing Biceps to completely compute in subquadratic time a new generic type of bicluster in dense and sparse matrices
Does user-end work? User-item-aware knowledge graph convolutional networks for recommendation
VFC-SMOTE: very fast continuous synthetic minority oversampling for evolving data streams
Discrete-time survival forests with Hellinger distance decision trees
Guest editors' introduction: special issue of selected papers from ECML PKDD 2009
Predicting labels for dyadic data
Harmony K -means algorithm for document clustering
FRUITS: feature extraction using iterated sums for time series classification
Matrix profile goes MAD: variable-length motif and discord discovery in data series
Hierarchical message-passing graph neural networks
Using coarse information for real valued prediction
Representing ensembles of networks for fuzzy cluster analysis: a case study
Ratio Selection for Classification Models
OEC: an online ensemble classifier for mining data streams with noisy labels
Contextualization of soccer analysis with tactical periodization and machine learning
Enhancing racism classification: an automatic multilingual data annotation system using self-training and CNN
Interactive visual data exploration with subjective feedback: an information-theoretic approach
CenKNN: a scalable and effective text classifier
Self-monitoring for maintenance of vehicle fleets
Category tree distance: a taxonomy-based transaction distance for web user analysis
GenMax: An Efficient Algorithm for Mining Maximal Frequent Itemsets
An efficiently computable subgraph pattern support measure: counting independent observations
A reference based analysis framework for understanding anomaly detection techniques for symbolic sequences
Dynamic slate recommendation with gated recurrent units and Thompson sampling
Visualizing image content to explain novel image discovery
Parallel Learning of Belief Networks in Large and Difficult Domains
Mining Web Log Sequential Patterns with Position Coded Pre-Order Linked WAP-Tree
Optimal constraint-based decision tree induction from itemset lattices
Session-based recommendation by exploiting substitutable and complementary relationships from multi-behavior data
Missing value replacement in strings and applications
Interpreting deep learning models with marginal attribution by conditioning on quantiles
SCALE: a scalable framework for efficiently clustering transactional data
Efficiently summarizing attributed diffusion networks
Quantifying counts and costs via classification
Robust classification of graph-based data
Behavioral event data and their analysis
Enhanced spatiotemporal relational probability trees and forests
Syndromic surveillance of Flu on Twitter using weakly supervised temporal topic models
Unsupervised dimensionality reduction versus supervised regularization for classification from sparse data
A comparative study of data-dependent approaches without learning in measuring similarities of data objects
Efficient mining of the most significant patterns with permutation testing
On measuring similarity for sequences of itemsets
The complexity of non-hierarchical clustering with instance and cluster level constraints
Efficient learning with projected histograms
BROCCOLI: overlapping and outlier-robust biclustering through proximal stochastic gradient descent
Using trees to mine multirelational databases
A general framework for predictive tensor modeling with domain knowledge
Detecting anomalies using rotated isolation forest
Link prediction using time series of neighborhood-based node similarity scores
Editor's Note: Special Section on Data Mining for Smart Cities
INK: knowledge graph embeddings for node classification
Matrix-variate and higher-order probabilistic projections
Knowledge Discovery in Grammatically Analysed Corpora
Learning tractable probabilistic models for moral responsibility and blame
Bipartite isoperimetric graph partitioning for data co-clustering
Navigating the metric maze: a taxonomy of evaluation metrics for anomaly detection in time series
Online estimation of discrete, continuous, and conditional joint densities using classifier chains
Link prediction in heterogeneous data via generalized coupled tensor factorization
Handling imbalance in hierarchical classification problems using local classifiers approaches
Metadata supported scale space attention networks for multivariate timeseries prediction
An anomaly aware network embedding framework for unsupervised anomalous link detection
Time to CARE: a collaborative engine for practical disease prediction
A time-efficient breadth-first level-wise lattice-traversal algorithm to discover rare itemsets
Data-driven generation of spatio-temporal routines in human mobility
Conclusive local interpretation rules for random forests
One-shot relational learning for extrapolation reasoning on temporal knowledge graphs
Efficient outlier detection in numerical and categorical data
Guiding the generation of counterfactual explanations through temporal background knowledge for predictive process monitoring
Mining explainable local and global subgraph patterns with surprising densities
A Tutorial on Support Vector Machines for Pattern Recognition
An ultra-fast time series distance measure to allow data mining in more complex real-world deployments
Global and componentwise extrapolations for accelerating training of Bayesian networks and conditional random fields
PRIE: a system for generating rulelists to maximize ROC performance
Hellinger distance decision trees are robust and skew-insensitive
Measuring and moderating opinion polarization in social networks
Visualization and Analysis of Clickstream Data of Online Stores for Understanding Web Merchandising
Binarised regression tasks: methods and evaluation metrics
Enhancing social collaborative filtering through the application of non-negative matrix factorization and exponential random graph models
C-BiLDA extracting cross-lingual topics from non-parallel texts by distinguishing shared from unshared content
Model-Based Clustering and Visualization of Navigation Patterns on a Web Site
Guest editorial: special issue on temporal data mining: theory, algorithms and applications
Using association rules to mine for strong approximate dependencies
Introduction to the special issue for the ECML PKDD 2018 journal track
On Issues of Instance Selection
Outlier Detection and Data Cleaning in Multivariate Non-Normal Samples: The PAELLA Algorithm
Eigenvectors of directed graphs and importance scores: dominance, T-Rank, and sink remedies
Optirefine: densest subgraphs and maximum cuts with k refinements
ABACUS: frequent pAttern mining-BAsed Community discovery in mUltidimensional networkS
A survey and benchmarking study of multitreatment uplift modeling
Improving neural network's robustness on tabular data with D-layers
Document analysis and visualization with zero-inflated poisson
Widening: using parallel resources to improve model quality
Progressive refinement for support vector machines
AURORA: A Unified fRamework fOR Anomaly detection on multivariate time series
Fair detection of poisoning attacks in federated learning on non-i.i.d. data
Quadratic regularization projected Barzilai-Borwein method for nonnegative matrix factorization
Random walks with variable restarts for negative-example-informed label propagation
Temporal stability in predictive process monitoring
Discovering Interesting Patterns for Investment Decision Making with GLOWER - A Genetic Learner Overlaid with Entropy Reduction
Relational peculiarity-oriented mining
Modeling location-based social network data with area attraction and neighborhood competition
Efficient Algorithms for Mining and Incremental Update of Maximal Frequent Sequences
End-to-end deep representation learning for time series clustering: a comparative study
A fast ensemble pruning algorithm based on pattern mining process
Visualizing multi-dimensional decision boundaries in 2D
Evaluation measures for hierarchical classification: a unified view and novel approaches
Conditional ordinal random fields for structured ordinal-valued label prediction
Mining skypatterns in fuzzy tensors
Anytime parallel density-based clustering
Discovering outlying aspects in large datasets
On the Complexity of Mining Quantitative Association Rules
Guest editorial: special issue on utility-based data mining
Deep clustering for large-scale interpretable time series segmentation
A divide-and-conquer recursive approach for scaling up instance selection algorithms
'Fake news' und die ganze Bandbreite des Informationsfeldes
"Wer lernt, ist doof. Produziert unser Bildungssystem notorische Betrüger?" / "Those who learn are stupid. Does our educational system produce notorious fraudsters?" / » Celui qui apprend est stupide. Est-ce que notre système d'éducation produit des fraudeurs notoires? «
Digital Business Management - eine neue Studienrichtung im Bachelor of Science in Information Science
Darmstädter Symposium Informationswissenschaft 2015
Zwischen Katalogisierung und Inhaltserschließung: Codierung von Dokumentarten - eine offene oder versteckte Aufgabe in Informationssystemen
Zurück in die Zukunft? Die etwas andere Sichtweise auf die APE-Konferenz 2017
Multilingual Access to Digital Libraries: The Europeana Use Case / Mehrsprachiger Zugang zu Digitalen Bibliotheken: Europeana / Accès multilingue aux bibliothèques numériques: Le cas d'Europeana
Klassifikationen in Bibliotheken. Theorie - Anwendung - Nutzen
Wie verbessern Wissensmanagement und Open Data die Arzneimittelentwicklung und ‑zulassung?
Technische Dokumentation - Mangelberuf mit vielen Namen
Über die Möglichkeiten und Grenzen der programmierten Informationsbereitstellung
Die DGI : Mit einem Blick zurück nach vorne
Das Regionale Wirtschaftsarchiv in Berlin
Was gehen Unternehmen Social Media an?
Textplagiate in der Wissenschaft und deren Verhinderung / Text plagiarism in science and its prevention -Theoretical considerations and empirical findings / Le plagiat de texte dans le domaine des sciences et saprévention: Considérations théoriques et résultats
Dr. Rolf Jansen verstorben
Terminologie der Information und Dokumentation Grundwortschatz, 3., neu bearbeitete Ausgabe (TID 3.1). Axel Ermert, Monika Hagedorn-Saupe, Barbara Müller-Heiden, Marlies Ockenfeld (Redaktion). Fachgruppe Arbeitskreis Terminologie und Sprachfragen (AKTS) der Deutschen Gesellschaft für Information und Wissen (DGI). - Frankfurt am Main 2023, (DGI-Schrift Informationswissenschaft - 13; ISSN 0940 6662). - XII + 144 Seiten, Register, Verzeichnis englischer und französischer Benennungen. - ISBN Gebundene Ausgabe 978-3-925474-74-3, ISBN E-Book (PDF) 978-3-925474-75-0, 19,80 Euro (für DGI-Mitglieder 15,80 Euro)