05104nam 2200529 450 99646443250331620220119175351.03-030-75768-410.1007/978-3-030-75768-7(CKB)4100000011918704(DE-He213)978-3-030-75768-7(MiAaPQ)EBC6607522(Au-PeEL)EBL6607522(OCoLC)1250275933(PPN)255881452(EXLCZ)99410000001191870420220119d2021 uy 0engurnn#008mamaatxtrdacontentcrdamediacrrdacarrierAdvances in knowledge discovery and data mining 25th Pacific-Asia Conference, PAKDD 2021, Virtual Event, May 11-14, 2021, Proceedings. Part III /Kamal Karlapalem [and six others] editors1st ed. 2021.Cham, Switzerland :Springer,[2021]©20211 online resource (XXIII, 434 p. 142 illus., 117 illus. in color.)Lecture Notes in Artificial Intelligence ;127143-030-75767-6 Representation Learning and Embedding -- Episode Adaptive Embedding Networks for Few-shot Learning -- Universal Representation for Code -- Self-supervised Adaptive Aggregator Learning on Graph -- A Fast Algorithm for Simultaneous Sparse Approximation -- STEPs-RL: Speech-Text Entanglement for Phonetically Sound Representation Learning -- RW-GCN: Training Graph Convolution Networks with biased random walk for Semi-Supervised Classification -- Loss-aware Pattern Inference: A Correction on the Wrongly Claimed Limitations of Embedding Models -- SST-GNN: Simplified Spatio-temporal Traffic forecasting model using Graph Neural Network -- VIKING: Adversarial Attack on Network Embeddings via Supervised Network Poisoning -- Self-supervised Graph Representation Learning with Variational Inference -- Manifold Approximation and Projection by Maximizing Graph Information -- Learning Attention-based Translational Knowledge Graph Embedding via Nonlinear Dynamic Mapping -- Multi-Grained Dependency Graph Neural Network for Chinese Open Information Extraction -- Human-Understandable Decision Making for Visual Recognition -- LightCAKE: A Lightweight Framework for Context-Aware Knowledge Graph Embedding -- Transferring Domain Knowledge with an Adviser in Continuous Tasks -- Inferring Hierarchical Mixture Structures: A Bayesian Nonparametric Approach -- Quality Control for Hierarchical Classification with Incomplete Annotations -- Learning from Data -- Learning Discriminative Features using Multi-label Dual Space -- AutoCluster: Meta-learning Based Ensemble Method for Automated Unsupervised Clustering -- BanditRank: Learning to Rank Using Contextual Bandits -- A compressed and accelerated SegNet for plant leaf disease segmentation: A Differential Evolution based approach -- Meta-Context Transformers for Domain-Specific Response Generation -- A Multi-task Kernel Learning Algorithm for Survival Analysis -- Meta-data Augmentation based Search Strategy through Generative Adversarial Network for AutoML Model Selection -- Tree-Capsule: Tree-Structured Capsule Network for Improving Relation Extraction -- Rule Injection-based Generative Adversarial Imitation Learning for Knowledge Graph Reasoning -- Hierarchical Self Attention Based Autoencoder for Open-Set Human Activity Recognition -- Reinforced Natural Language Inference for Distantly Supervised Relation Classification -- SaGCN: Structure-aware Graph Convolution Network for Document-level Relation Extraction -- Addressing the class imbalance problem in medical image segmentation via accelerated Tversky loss function -- Incorporating Relational Knowledge in Explainable Fake News Detection -- Incorporating Syntactic Information into Relation Representations for Enhanced Relation Extraction.The 3-volume set LNAI 12712-12714 constitutes the proceedings of the 25th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining, PAKDD 2021, which was held during May 11-14, 2021. The 157 papers included in the proceedings were carefully reviewed and selected from a total of 628 submissions. They were organized in topical sections as follows: Part I: Applications of knowledge discovery and data mining of specialized data; Part II: Classical data mining; data mining theory and principles; recommender systems; and text analytics; Part III: Representation learning and embedding, and learning from data.Lecture Notes in Artificial Intelligence ;12714Data miningCongressesArtificial intelligenceCongressesArtificial intelligenceData miningArtificial intelligenceArtificial intelligence.006.3Karlapalem KamalMiAaPQMiAaPQMiAaPQBOOK996464432503316Advances in Knowledge Discovery and Data Mining772012UNISA06655nam 22007455 450 991034930500332120251225194924.03-030-27618-X10.1007/978-3-030-27618-8(CKB)4100000009046439(DE-He213)978-3-030-27618-8(MiAaPQ)EBC5926851(PPN)24860127X(EXLCZ)99410000000904643920190805d2019 u| 0engurnn|008mamaatxtrdacontentcrdamediacrrdacarrierDatabase and Expert Systems Applications 30th International Conference, DEXA 2019, Linz, Austria, August 26–29, 2019, Proceedings, Part II /edited by Sven Hartmann, Josef Küng, Sharma Chakravarthy, Gabriele Anderst-Kotsis, A Min Tjoa, Ismail Khalil1st ed. 2019.Cham :Springer International Publishing :Imprint: Springer,2019.1 online resource (XIX, 469 p. 428 illus., 101 illus. in color.) Information Systems and Applications, incl. Internet/Web, and HCI,2946-1642 ;11707Includes index.3-030-27617-1 Distributed, Parallel, P2P, Grid and Cloud databases -- Looking into the Peak Memory Consumption of Epoch-based Reclamation in Scalable In-Memory Database Systems -- Energy Efficient Data Placement and Buffer Management for Multiple Replication -- Querying Knowledge Graphs with Natural Languages -- Explaining Query Answer Completeness and Correctness With Partition Patterns -- Information Retrieval -- Research Paper Search Using a Topic-based Boolean Query Search and a General Query-based Ranking Model -- Extractive Document Summarization using Non-negative Matrix Factorization -- Succinct BWT-based Sequence prediction -- TRR: Reducing Crowdsourcing Task Redundancy -- Software Resource Recommendation for Process Execution based on the Organization's Profile -- An Experiment to Analyze the Use of Process Modeling Guidelines to Create High-Quality Process Models -- Semantic Web and Ontologies -- Novel Node Importance Measures to Improve Keyword Search over RDF Graphs -- Querying in a Workload-aware Triplestore based on NoSQL Databases -- Reverse Partitioning for SPARQL Queries: Principles and Performance Analysis -- PFed: Recommending Plausible Federated SPARQL Queries -- Representing and Reasoning about Precise and Imprecise Time Points and Intervals in Semantic Web: Dealing with Dates and Time Clocks -- Information Processing -- Context-Aware Multi-Criteria Recommendation Based on Spectral Graph Partitioning -- SilverChunk: An Efficient In-Memory Parallel Graph Processing System -- A modular approach for efficient simple question answering over knowledge base -- Scalable Machine Learning in the R Language Using a Summarization Matrix -- ML-PipeDebugger: A Debugging Tool for Data Processing Pipelines -- Temporal, Spatial, and High Dimensional Databases -- Correlation Set Discovery on Time-series Data -- Anomaly Subsequence Detection with Dynamic Local Density for Time Series -- Trajectory Similarity Join for Spatial Temporal Database -- Knowledge Discovery -- Multiviewpoint-based Agglomerative Hierarchical Clustering -- Triplet-CSSVM: Integrating Triplet-Sampling CNN and Cost-Sensitive Classification for Imbalanced Image Detection -- Discovering Partial Periodic High Utility Itemsets in Temporal Databases -- Using Mandatory Concepts for Knowledge Discovery and Data Structuring -- Topological Data Analysis with \epsilon-net Induced Lazy Witness Complex -- Analyzing Sequence Pattern Variants in Sequential Pattern Mining and its Application to Electronic Medical Record Systems -- Web Services -- Composing Distributed Data-intensive Web services using Distance-guided Memetic Algorithm -- Keyword Search based Mashup Construction with Guaranteed Diversity -- Using EDA-Based Local Search to improve the performance of NSGA-II for Multiobjective Semantic Web Service Composition -- Adaptive Caching for Data-Intensive Scientific Workflows in the Cloud.This two volume set of LNCS 11706 and LNCS 11707 constitutes the refereed proceedings of the 30th International Conference on Database and Expert Systems Applications, DEXA 2019, held in Linz, Austria, in August 2019. The 32 full papers presented together with 34 short papers were carefully reviewed and selected from 157 submissions. The papers are organized in the following topical sections: Part I: Big data management and analytics; data structures and data management; management and processing of knowledge; authenticity, privacy, security and trust; consistency, integrity, quality of data; decision support systems; data mining and warehousing. Part II: Distributed, parallel, P2P, grid and cloud databases; information retrieval; Semantic Web and ontologies; information processing; temporal, spatial, and high dimensional databases; knowledge discovery; web services.Information Systems and Applications, incl. Internet/Web, and HCI,2946-1642 ;11707Data miningDatabase managementApplication softwareArtificial intelligenceData protectionData Mining and Knowledge DiscoveryDatabase ManagementComputer and Information Systems ApplicationsArtificial IntelligenceData and Information SecurityData mining.Database management.Application software.Artificial intelligence.Data protection.Data Mining and Knowledge Discovery.Database Management.Computer and Information Systems Applications.Artificial Intelligence.Data and Information Security.005.74005.74Hartmann Svenedthttp://id.loc.gov/vocabulary/relators/edtKüng Josefedthttp://id.loc.gov/vocabulary/relators/edtChakravarthy Sharmaedthttp://id.loc.gov/vocabulary/relators/edtAnderst-Kotsis Gabrieleedthttp://id.loc.gov/vocabulary/relators/edtTjoa A Minedthttp://id.loc.gov/vocabulary/relators/edtKhalil Ismailedthttp://id.loc.gov/vocabulary/relators/edtMiAaPQMiAaPQMiAaPQBOOK9910349305003321Database and Expert Systems Applications772107UNINA