Search Results - (((((( Human-symbol relationship ) OR ( Human-social relations ))) OR ( Human-((tribal nation) OR (tribal nations)) ))) OR ( Human-((tribal relations) OR (causal relations)) ))
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Web-age information management : 14th International Conference, WAIM 2013, Beidaihe, China, June 14-16, 2013 : proceedings
Published: Springer, 2013Contents: “…Entity Resolution on Uncertain Relations /…”Description: 1 online resource (xxviii, 812 pages) : illustrations.
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Knowledge engineering and knowledge management : 23rd International Conference, EKAW 2022, Bolzano, Italy, September 26-29, 2022, proceedings
Published: Springer, 2022Contents: “…Injecting ConceptNet knowledge into BERT-based models to improve commonsense reasoning ability -- Towards a Knowledge Graph of Health Evolution -- Beyond Causality: Representing Event Relations in Knowledge Graphs -- Evaluating the Interpretability of Threshold Operators -- EBOCA: Evidences for BiOmedical Concepts Association Ontology -- Counter Effect Rules Mining in Knowledge Graphs -- A FAIR Core Semantic Metadata Model for FAIR Multidimensional Tabular Datasets -- Human-centric Ontology Evaluation: Process and Tool Support -- Towards Pragmatic Explanations for Domain Ontologies -- Quasi-equivalent concept trade-off in ontology design: initial considerations and analyses.…”Description: 1 online resource (xii, 217 pages) : illustrations (chiefly color).
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Advances in knowledge discovery and data mining : 7th Pacific-Asia Conference, PAKDD 2003, Seoul, Korea, April 30 - May 2, 2003 : proceedings
Published: Springer, 2003Contents: “…Industrial Papers (Invited) -- Data Mining as an Automated Service -- Trends and Challenges in the Industrial Applications of KDD -- Stream Mining I -- Finding Event-Oriented Patterns in Long Temporal Sequences -- Mining Frequent Episodes for Relating Financial Events and Stock Trends -- Graph Mining -- An Efficient Algorithm of Frequent Connected Subgraph Extraction -- Classifier Construction by Graph-Based Induction for Graph-Structured Data -- Clustering I -- Comparison of the Performance of Center-Based Clustering Algorithms -- Automatic Extraction of Clusters from Hierarchical Clustering Representations -- Text Mining -- Large Scale Unstructured Document Classification Using Unlabeled Data and Syntactic Information -- Extracting Shared Topics of Multiple Documents -- An Empirical Study on Dimensionality Optimization in Text Mining for Linguistic Knowledge Acquisition -- A Semi-supervised Algorithm for Pattern Discovery in Information Extraction from Textual Data -- Bio Mining -- Mining Patterns of Dyspepsia Symptoms Across Time Points Using Constraint Association Rules -- Predicting Protein Structural Class from Closed Protein Sequences -- Learning Rules to Extract Protein Interactions from Biomedical Text -- Predicting Protein Interactions in Human by Homologous Interactions in Yeast -- Web Mining -- Mining the Customer's Up-To-Moment Preferences for E-commerce Recommendation -- A Graph-Based Optimization Algorithm for Website Topology Using Interesting Association Rules -- A Markovian Approach for Web User Profiling and Clustering -- Extracting User Interests from Bookmarks on the Web -- Stream Mining II -- Mining Frequent Instances on Workflows -- Real Time Video Data Mining for Surveillance Video Streams -- Distinguishing Causal and Acausal Temporal Relations -- Bayesian Networks -- Online Bayes Point Machines -- Exploiting Hierarchical Domain Values for Bayesian Learning -- A New Restricted Bayesian Network Classifier -- Clustering II -- AGRID: An Efficient Algorithm for Clustering Large High-Dimensional Datasets -- Multi-level Clustering and Reasoning about Its Clusters Using Region Connection Calculus -- An Efficient Cell-Based Clustering Method for Handling Large, High-Dimensional Data -- Association Rules I -- Enhancing SWF for Incremental Association Mining by Itemset Maintenance -- Reducing Rule Covers with Deterministic Error Bounds -- Evolutionary Approach for Mining Association Rules on Dynamic Databases -- Semi-structured Data Mining -- Position Coded Pre-order Linked WAP-Tree for Web Log Sequential Pattern Mining -- An Integrated System of Mining HTML Texts and Filtering Structured Documents -- A New Sequential Mining Approach to XML Document Similarity Computation -- Classification I -- Optimization of Fuzzy Rules for Classification Using Genetic Algorithm -- Fast Pattern Selection for Support Vector Classifiers -- Averaged Boosting: A Noise-Robust Ensemble Method -- Improving Performance of Decision Tree Algorithms with Multi-edited Nearest Neighbor Rule -- Data Analysis -- HOT: Hypergraph-Based Outlier Test for Categorical Data -- A Method for Aggregating Partitions, Applications in K.D.D. -- Efficiently Computing Iceberg Cubes with Complex Constraints through Bounding -- Extraction of Tag Tree Patterns with Contractible Variables from Irregular Semistructured Data -- Association Rules II -- Step-by-Step Regression: A More Efficient Alternative for Polynomial Multiple Linear Regression in Stream Cube -- Progressive Weighted Miner: An Efficient Method for Time-Constraint Mining -- Mining Open Source Software (OSS) Data Using Association Rules Network -- Parallel FP-Growth on PC Cluster -- Feature Selection -- Active Feature Selection Using Classes -- Electricity Based External Similarity of Categorical Attributes -- Weighted Proportional k-Interval Discretization for Naive-Bayes Classifiers -- Dealing with Relative Similarity in Clustering: An Indiscernibility Based Approach -- Stream Mining III -- Considering Correlation between Variables to Improve Spatiotemporal Forecasting -- Correlation Analysis of Spatial Time Series Datasets: A Filter-and-Refine Approach -- When to Update the Sequential Patterns of Stream Data? …”Description: 1 online resource (xviii, 610 pages) : illustrations.
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Intelligent information and database systems : 11th Asian Conference, ACIIDS 2019, Yogyakarta, Indonesia, April 8-11, 2019, Proceedings. Part I
Published: Springer, 2019Contents: “…Knowledge Engineering and Semantic Web -- Algorithms for Merging Probabilistic Knowledge Bases -- A Formal Framework for the Ontology Evolution -- Logical Problem Solving Framework -- Term Rewriting That Preserves Models in KR-Logic -- Towards Knowledge Formalization and Sharing in a Cognitive Vison Platform for Hazard Control (CVP-HC) -- Assessing Individuals Learning's Impairments from a Social Entropic Perspective -- Text Processing and Information Retrieval -- Robust Web Data Extraction based on Unsupervised Visual Validation -- A Character-level Deep Lifelong Learning Model for Named Entity Recognition in Vietnamese Text -- Identification of Conclusive Association Entities by Biomedical Association Mining -- A Data Preprocessing Method to Classify and Summarize Aspect-Based Opinions using Deep Learning -- Word Mover's Distance for Agglomerative Short Text Clustering -- Improving Semantic Relation Extraction System with Compositional Dependency Unit on Enriched Shortest Dependency Path -- An Adversarial Learning and Canonical Correlation Analysis based Cross-Modal Retrieval Model -- Event Prediction Based on Causality Reasoning -- A method for detecting and analyzing the sentiment of tweets containing conditional sentences -- Aggregating Web Search Results -- Cross-Lingual Korean Speech-to-Text Summarization -- On Some Approach to Evaluation in Personalized Document Retrieval Systems -- Machine Learning and Data Mining -- A Class-Cluster k-Nearest Neighbors Method for Temporal In-Trouble Student Identification -- Multidimensional Permutation Entropy for Constrained Motif Discovery -- A LSTM Approach for Sales Forecasting of Goods with Short-term Demands in E-Commerce -- Detection of Rare Elements in Investigation of Medical Problems -- Cardiac murmur effects on automatic segmentation of ECG signals for biometric identification: Preliminary study -- An Approach to Estimation of Residential Housing Type Based on the Analysis of Parked Cars -- Household Electric Load Pattern Consumption Enhanced Simulation by Random Behavior -- Anomaly Detection Procedures in a Real World Dataset by Using Deep-Learning Approaches -- Developing a General Video Game AI Controller Based on an Evolutionary Approach -- Separable data aggregation by layers of binary classifiers -- Adaptation and recovery stages for case-based reasoning systems using Bayesian estimation and Density estimation with Nearest Neighbors -- Feature extraction analysis for emotion recognition from ICEEMD of multimodal physiological signals -- Using Fourier series to improve the prediction accuracy of Nonlinear Grey Bernoulli Model -- Learning Hierarchical Weather Data Representation for Short-term Weather Forecasting using Autoencoder and LSTM -- Logo and Brand Recognition from Imbalanced Dataset using MiniGoogLenet and MiniVGGnet Models -- Decision Support and Control Systems -- Selected problems of controllability of semilinear fractional systems-a Survey -- A data-driven approach to modeling and solving academic teachers' competences configuration problem -- PID Regulatory Control Design for a Double Tank System Based on Time-Scale Separation -- Towards Formal, Graph-based Spatial Data Processing: The Case of Lighting Segments for Pedestrian Crossings -- Multi-Agent Support For Street Lighting Modernization Planning -- An application a two-level determination consensus method in a multi-agent financial decisions support system -- Implementing Smart Virtual Product Development (SVPD) to Support Product Manufacturing -- PID Tuning with Neural Networks -- Repeatable trust game { preliminary experimental results -- Modeling of uncertainty with Petri nets -- A Collaborative Approach Based on DCA and VNS for Solving Mixed Binary Linear Programs -- Adoption of Cloud Business Intelligence in Indonesia's Financial Services Sector -- Stakeholder impact on the success and risk of failure of ICT projects in Poland -- Analysis of the Influence of ICT and Public Recognition on University Credibility -- Quantum Game-Based Recommender Systems for Disruptive Innovations -- Computer Vision Techniques -- Matching Topological Structures for Handwritten Character Recognition -- Enhancing the Resolution of Satellite Images Using the Best Matching Image Fragment -- Multi-scale Autoencoders in Autoencoder for Semantic Image Segmentation -- Simultaneous Localization and Segmentation of Fish Objects using Multi-Task CNN and Dense CRF -- Violent Crowd Flow Detection Using Deep Learning -- Drowsiness Detection in Drivers through Real-time Image Processing of the Human Eye -- Software Techniques to Reduce Cybersickness among Users of Immersive Virtual Reality Environments -- Semi-supervised learning with Bidirectional GANs -- Sharp Images Detection for Microscope Pollen Slides Observation -- Databases and Intelligent Information Systems -- Slowly Changing Dimension Handling in Data Warehouses using Temporal Database Features -- Tackling Complex Queries to Relational Databases -- Approximate Outputs of Accelerated Turing Machines Closest to Their Halting Point -- Development of Seawater Temperature Announcement System for Improving Productivity of Fishery Industry -- TB5 tool for tracking personality traits -- Comparative Analysis of Usability of Data Entry Design Patterns for Mobile Applications.…”Description: 1 online resource : illustrations.
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Conference Proceeding eBook