LEADER 00913nam0-2200313---450- 001 990009759970403321 005 20130917082542.0 010 $a978-1-4398-4963-7 035 $a000975997 035 $aFED01000975997 035 $a(Aleph)000975997FED01 035 $a000975997 100 $a20130912d2014----km-y0itay50------ba 101 0 $aeng 102 $aUS 105 $aa-------001yy 200 1 $aStatistical methods for handling incomplete data$fJae Kwang Kim and Jun Shao 210 $aBoca Raton$cCRC Press$d[2014] 215 $aviii, 207 p.$cill.$d24 cm 676 $a519.5$v22$zita 700 1$aKim,$bJae Kwang$f<1968->$0520717 701 1$aShao,$bJun$0351292 801 0$aIT$bUNINA$gREICAT$2UNIMARC 901 $aBK 912 $a990009759970403321 952 $aVI E 1479$b50480$fFSPBC 959 $aFSPBC 996 $aStatistical methods for handling incomplete data$9834534 997 $aUNINA LEADER 01132nam 2200361 450 001 9910793734503321 005 20230124195728.0 010 $a1-55753-912-X 035 $a(CKB)4100000009152713 035 $a(MiAaPQ)EBC5888197 035 $a(EXLCZ)994100000009152713 100 $a20190926d2015 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aFirst in the field $ebreaking ground in computer science at Purdue University /$fRobin Lea Pyle 210 1$a[Place of publication not identified] :$cPurdue University Press,$d[2015] 210 4$dİ2015 215 $a1 online resource (129 pages) 311 $a1-62671-036-8 606 $aComputer science$xStudy and teaching (Higher)$zIndiana$xHistory 615 0$aComputer science$xStudy and teaching (Higher)$xHistory. 676 $a004.0711 700 $aPyle$b Robin Lea$01538809 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910793734503321 996 $aFirst in the field$93789186 997 $aUNINA LEADER 06019nam 22007575 450 001 996673181603316 005 20250821130257.0 010 $a3-032-02049-2 024 7 $a10.1007/978-3-032-02049-9 035 $a(CKB)40401795500041 035 $a(MiAaPQ)EBC32268194 035 $a(Au-PeEL)EBL32268194 035 $a(DE-He213)978-3-032-02049-9 035 $a(OCoLC)1534812307 035 $a(EXLCZ)9940401795500041 100 $a20250821d2026 u| 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aDatabase and Expert Systems Applications $e36th International Conference, DEXA 2025, Bangkok, Thailand, August 25?27, 2025, Proceedings, Part I /$fedited by Robert Wrembel, Gabriele Kotsis, A Min Tjoa, Ismail Khalil 205 $a1st ed. 2026. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2026. 215 $a1 online resource (553 pages) 225 1 $aLecture Notes in Computer Science,$x1611-3349 ;$v16046 311 08$a3-032-02048-4 327 $a -- Industrial Keynote. -- From Data Silos to Data Mesh: A Case Study in Financial Data Architecture. -- Invited Talk. -- Blending Contextual Data with Heterogeneous Time Dimensions for Improved Time Series Analysis. -- A Hybrid Data Model to Support Transportation Analytics of Emergency Service Vehicles. -- Large Language Models. -- Automated Archival Descriptions with Federated Intelligence of LLMs. -- Entropy-Guided Probing for Predicting LLM Hallucinations with Knowledge Graph Features. -- Towards Automating RDF Extraction for Archaeological Knowledge Graphs with LLMs. -- Ontology-Based Forest Fire Management using Complex Event Processing and Large Language Models. -- Table Annotation Utilizing Large Language Model and Knowledge Graph. -- Improving Software Security Through a LLM-Based Vulnerability Detection Model. -- SysResolve: Study on In-Context LLM Generation of Resolution Scripts. -- Data Quality. -- A Novel Unsupervised Anomaly Detection Method Based on TCN-LSTM-CMA Autoencoder. -- Behaviour modelling and Wayfinding Error Detection in Low Mountain Hiking. -- Explainable Time Series Anomaly Detection by Dynamic Mode Decomposition. -- Exploring Quantum Bootstrap Sampling for AQP Error Assessment: A Pilot Study. -- AI-Driven Semantic Data Quality Assessment and Scoring for Relational Databases. -- Network Anomaly Detection Using Gramian Angular Field Transformation and Vision Transformer. -- Machine Learning /Artificial Intelligence Applications. -- Identifying Multimodal Sarcasm Based on Incongruous Knowledge Capturing and Contrastive Learning. -- Ensemble ToT and Its Application to Automatic Grading. -- Improving Prompt-based Learning Framework for Mental Health Aspect Detection from Social Media. -- DInos: A Deep Reinforcement Learning Approach to Generalizable Autoscaling in Stateless Cloud Applications. -- Influential Slot and Tag Selection in Billboard Advertisement. -- Speech-scenario Generation based on the Philosophy of Prominent Leader within the Small Community. -- VarCGAN: Variational Cyclic Generative Adversarial Network for Music Genre Style Transfer. -- Innovative Framework for Early Estimation of Mental Disorder Scores to Enable Timely Interventions. -- A Hybrid Approach to estimating AI Carbon Emissions. -- Optimal Information Retrieval System in E-Learning Using Optimization-Driven Bidirectional Long Short-Term Memory. -- A Data Product Classification by Technical and Machine Learning Aspects. -- Classification Techniques. -- Discovering Voting Power for Ensemble Methods. -- Classifying Public and Private Documents Using Context-Based Predictions. 330 $aThe two-volume set LNCS 16046-16047 constitutes the proceedings of the 36th International Conference on Database and Expert Systems Applications, DEXA 2025, held in Bangkok, Thailand, in August 25?27, 2025. The 35 full and 22 short papers presented in this set together with 3 invited talks were carefully reviewed and selected from 123 submissions. They were organized in topical sections as follows: Part I: Industrial Keynote; Invited Talks; Large Language Models; Data Quality; Machine Learning /Artificial Intelligence Applications; Classification Techniques. Part II: Image Processing, Analytics, and Vision Systems; Recommender Techniques; Data Integration; Optimisation Methods; Graph Applications; Analytics; Security/Privacy; Benchmarks and Surveys. 410 0$aLecture Notes in Computer Science,$x1611-3349 ;$v16046 606 $aDatabase management 606 $aArtificial intelligence 606 $aApplication software 606 $aSoftware engineering 606 $aInformation storage and retrieval systems 606 $aData mining 606 $aDatabase Management 606 $aArtificial Intelligence 606 $aComputer and Information Systems Applications 606 $aSoftware Engineering 606 $aInformation Storage and Retrieval 606 $aData Mining and Knowledge Discovery 615 0$aDatabase management. 615 0$aArtificial intelligence. 615 0$aApplication software. 615 0$aSoftware engineering. 615 0$aInformation storage and retrieval systems. 615 0$aData mining. 615 14$aDatabase Management. 615 24$aArtificial Intelligence. 615 24$aComputer and Information Systems Applications. 615 24$aSoftware Engineering. 615 24$aInformation Storage and Retrieval. 615 24$aData Mining and Knowledge Discovery. 676 $a005.74 700 $aWrembel$b Robert$01423615 701 $aKotsis$b Gabriele$0848995 701 $aTjoa$b A. Min$0909730 701 $aKhalil$b Ismail$01379892 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996673181603316 996 $aDatabase and Expert Systems Applications$94428580 997 $aUNISA