the proceedings contain 7 papers. the topics discussed include: VOTERS: design of a mobile multi-modal multi-sensor system;towards understanding dominant processes in complex dynamical systems: case of precipitation e...
ISBN:
(纸本)9781450315548
the proceedings contain 7 papers. the topics discussed include: VOTERS: design of a mobile multi-modal multi-sensor system;towards understanding dominant processes in complex dynamical systems: case of precipitation extremes;quantile index for gradual and abrupt change detection from CFB boiler sensor data in online settings;tracking states of electrical appliances by lightweight metering and sequence decoding;mining complex activities in the wild using a single smartphone accelerometer;efficient space-time modeling for informative sensing;and environmental monitoring via compressive sensing.
the proceedings contain 41 papers. the topics discussed include: optimized substructure discovery for semi-structured data;fast outlier detection in high dimensional spaces;datamining in schizophrenia research - prel...
ISBN:
(纸本)3540440372
the proceedings contain 41 papers. the topics discussed include: optimized substructure discovery for semi-structured data;fast outlier detection in high dimensional spaces;datamining in schizophrenia research - preliminary analysis;fast algorithms for mining emerging patterns;on the discovery of weak periodicities in large time series;the need for low bias algorithms in classification learning from large data sets;mining all non-derivable frequent itemsets;iterative data squashing for boosting based on a distribution- sensitive distance;finding association rules with some very frequent attributes;unsupervised learning: self-aggregation in scaled principal component space;a classification approach for prediction of target events in temporal sequences;privacy-oriented datamining by proof checking;and choose your words carefully: an empirical study of feature selection metrics for text classification.
the proceedings contain 56 papers. the special focus in this conference is on Advances in knowledgediscovery and datamining. the topics include: Network datamining and analysis;privacy preserving datamining;a case...
ISBN:
(纸本)9783540437048
the proceedings contain 56 papers. the special focus in this conference is on Advances in knowledgediscovery and datamining. the topics include: Network datamining and analysis;privacy preserving datamining;a case for analytical customer relationship management;scalability, constraints, and validation;discovering numeric association rules via evolutionary algorithm;efficient rule retrieval and postponed restrict operations for association rule mining;association rule mining on remotely sensed images using P-trees;on the efficiency of association-rule mining algorithms;a function-based classifier learning scheme using genetic programming;a selective neighborhood based naive Bayes for lazy learning;a method to boost naive Bayesian classifiers;toward Bayesian classifiers with accurate probabilities;pruning redundant association rules using maximum entropy principle;a confidence-lift support specification for interesting associations mining;concise representation of frequent patterns based on generalized disjunction-free generators;mining interesting association rules;efficient algorithms for incremental update of frequent sequences;efficient discovery of generalized sequential patterns by delimited pattern-growth technology;self-similarity for datamining and predictive modeling - a case study for network data;a new mechanism of mining network behavior;a modified fastmap algorithm for visual cluster validation in datamining;an incremental hierarchical data clustering algorithm based on gravity theory;adding personality to information clustering;clustering large categorical data;in pursuit of computationally and cognitively efficient web mining;website navigational behavior visualizer and optimal algorithms for finding user access sessions from very large web logs.
the proceedings contain 39 papers. the special focus in this conference is on data Warehousing Design, knowledgediscovery Framework and XML data Minig. the topics include: Conceptual design of XML document warehouses...
ISBN:
(纸本)354022937X
the proceedings contain 39 papers. the special focus in this conference is on data Warehousing Design, knowledgediscovery Framework and XML data Minig. the topics include: Conceptual design of XML document warehouses;bringing together partitioning, materialized views and indexes to optimize performance of relational data warehouses;a framework for guiding the design of geographical dimensional schemas;workload-based placement and join processing in node-partitioned data warehouses;novelty framework for knowledgediscovery in databases;revisiting generic bases of association rules;mining maximal frequently changing subtree patterns from XML documents;discovering pattern-based dynamic structures from versions of unordered XML documents;space-efficient range-sum queries in OLAP;answering approximate range aggregate queries on OLAP data cubes with probabilistic guarantees;computing complex iceberg cubes by multiway aggregation and bounding;an aggregate-aware retargeting algorithm for multiple fact data warehouses;a partial pre-aggregation scheme for HOLAP engines;discovering multidimensional structure in relational data;inductive databases as ranking;inductive databases of polynomial equations;from temporal rules to temporal meta-rules;report from a knowledge exchange network;towards an adaptive approach for miningdata streams in resource constrained environments;exploring possible adverse drug reactions by clustering event sequences;an algorithm for clustering data streams of categorical attributes;novel clustering approach that employs genetic algorithm with new representation scheme and multiple objectives;categorical data visualization and clustering using subjective factors;multidimensional data visual exploration by interactive information segments;metadata to support transformations and data & metadata lineage in a warehousing environment.
the proceedings contain 7 papers. the topics discussed include: Anderson acceleration for bioinformatics-based machine learning;comparator model for detecting changes in the ease of breathing of COPD patients;learning...
the proceedings contain 7 papers. the topics discussed include: Anderson acceleration for bioinformatics-based machine learning;comparator model for detecting changes in the ease of breathing of COPD patients;learning how to augment data: an application to biomedical NER;addressing class imbalance in electronic health records data imputation;PhyloTransformer: a self-supervised discriminative model for SARS-CoV-2 viral mutation prediction based on a multi-head self-attention mechanism;developing a fair AI-based healthcare framework with feedback loop;and joint entity and relation extraction in medical text.
the proceedings contain 12 papers. the special focus in this conference is on Advanced Analytics and Learning on Temporal data. the topics include: RevDet: Robust and Memory Efficient Event Detection and Tracking in L...
ISBN:
(纸本)9783030914448
the proceedings contain 12 papers. the special focus in this conference is on Advanced Analytics and Learning on Temporal data. the topics include: RevDet: Robust and Memory Efficient Event Detection and Tracking in Large News Feeds;from Univariate to Multivariate Time Series Anomaly Detection with Non-Local Information;state Space Approximation of Gaussian Processes for Time Series Forecasting;fast Channel Selection for Scalable Multivariate Time Series Classification;Temporal Phenotyping for Characterisation of Hospital Care Pathways of COVID19 Patients;non-parametric Multivariate Time Series Co-clustering Model Applied to Driving-Assistance Systems Validation;TRAMESINO: Traffic Memory System for Intelligent Optimization of Road Traffic Control;detection of Critical Events in Renewable Energy Production Time Series;multimodal Meta-Learning for Time Series Regression;cluster-Based Forecasting for Intermittent and Non-intermittent Time Series.
the proceedings contain 56 papers. the special focus in this conference is on Process mining. the topics include: One Language to60;Rule them All: Behavioural Querying of60;Process data Using SQL;EVErPREP: Towar...
ISBN:
(纸本)9783031822247
the proceedings contain 56 papers. the special focus in this conference is on Process mining. the topics include: One Language to Rule them All: Behavioural Querying of Process data Using SQL;EVErPREP: Towards an Event knowledge Graph Enhanced Workflow Model for Event Log Preparation;representative Sampling in Process mining: Two Novel Sampling Algorithms for Event Logs;root Cause Analysis Using Rule mining on Object-Centric Event Logs;the Jensen-Shannon Distance for Stochastic Conformance Checking;a Dynamic Programming Approach for Alignments on Process Trees;constructive Alignment in Process mining;understanding Student Behavior Using Active Window Tracking and Process mining;measuring Skill Acquisition and Retention: A Case Study of Math Fluency;assessing the Impact of Exam Preparation Process on Students’ Careers;evaluation of Study Plans Using Partial Orders;towards Standardized Modeling of Collaboration Processes in Collaboration Process discovery;revealing One-to-Many Event Relationships in Event knowledge Graphs;on the Impact of Low-Quality Activity Labels in Predictive Process Monitoring;Towards Accurate Predictions in ITSM: A Study on Transformer-Based Predictive Process Monitoring;predictions in Predictive Process Monitoring with Previously Unseen Categorical Values;differentially Private Event Logs with Case Attributes;caLenDiR: Mitigating Case-Length Distortion in Deep-Learning-Based Predictive Process Monitoring;CC-HIT: Creating Counterfactuals from High-Impact Transitions;multivariate Approaches for Process Model Forecasting;enhancing Predictive Process Monitoring Using Semantic Information;a Classification of data Quality Issues in Object-Centric Event data;analyzing the Evolution of Boards in Collaborative Work Management Tools;extending Process Intelligence with Quantity-Related Process mining;ranking the Top-K Realizations of Stochastically Known Event Logs;framework for Extracting Real-World Object-Centric Event Logs from Game data;object-Centric
In this paper we propose a datamining technique for the discovery of intrusions in big data. To achieve our objective, we first reviewed the different datamining works and tools to our knowledge for the extraction o...
详细信息
ISBN:
(纸本)9783031815690;9783031815706
In this paper we propose a datamining technique for the discovery of intrusions in big data. To achieve our objective, we first reviewed the different datamining works and tools to our knowledge for the extraction of data from big data. Secondly, we chose a honeypot (honeyD) from a set (of honeypots) based on well-defined criteria. thirdly, we combined this honeypot (honeyD) with different classification algorithms (decision trees and clustering such as k-means, DBSCAN to identify possible intrusions into the databases) in a functional architecture in which, we have presented and explained the role of each of its components. the implementation of our proposal shows that the combination of the honeypot withthese different clustering algorithms gives convincing results which make it possible to detect possible intrusions in the data big databases.
the proceedings contain 23 papers. the special focus in this conference is on knowledge Graphs and Semantic Web. the topics include: Towards Complex Ontology Alignment Using Large Language Models;enhancing knowledge G...
ISBN:
(纸本)9783031812200
the proceedings contain 23 papers. the special focus in this conference is on knowledge Graphs and Semantic Web. the topics include: Towards Complex Ontology Alignment Using Large Language Models;enhancing knowledge Graph Construction: Evaluating with Emphasis on Hallucination, Omission, and Graph Similarity Metrics;views, Semantic data Catalog and Role-Based Access Control for Ontologies and knowledge Graphs;accelerating Medical knowledgediscoverythrough Automated knowledge Graph Generation and Enrichment;ontoSeer - A Recommendation System to Improve the Quality of Ontologies;Adaptive Planning on the Web: Using LLMs and Affordances for Web Agents;Enriching RDF data with LLM Based Named Entity Recognition and Linking on Embedded Natural Language Annotations;TEDME-KG Metrics Framework: A Metrics Framework for TEmporal data Modelling Evaluation in knowledge Graphs;SFARDE: A knowledge-Centric Semantic Strategic Framework for Heritage Artifact Recommendation Integrating Generative AI and Differential Enrichment of Ontologies;leveraging Graph Models for Comprehensive Visual Analytics of Equine Heritage;OWL2Vec4OA: Tailoring knowledge Graph Embeddings for Ontology Alignment;Design of an Ontology-Driven Constraint Tester (ODCT) and Application to SAREF and Smart Energy Appliances;YOKO ONtO: You only KNIT One Ontology;CoKGLM: Detecting Hallucinations Generated by Large Language Models via knowledge Graph Verification;autOnto: Towards A Semi-Automated Ontology Engineering Methodology;Enhancing Question Answering Systems with Generative AI: A Study of LLM Performance and Error Analysis;disjointness Violations in Wikidata;enhancing WebProtégé with Version Control Systems;visual Presentation and Summarization of Linked data Schemas;a Proposed Ontology Evaluation Tool to Assist Ontology Engineers in Selecting Ontologies During the Reuse Phase;manufacturing Commonsense knowledge.
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