LEADER 01328nam0-2200313---450- 001 990009830350403321 005 20140228124010.0 035 $a000983035 035 $aFED01000983035 035 $a(Aleph)000983035FED01 035 $a000983035 100 $a20140228d1949----km-y0itay50------ba 101 2 $aeng$afre 102 $aGB 105 $ay-------001yy 200 1 $aFrench -english and english - french dictionary of technical terms and phrases used in civil, mechanical, electrical and mining engineering and allied sciences and industries$eincluding geology, physical, geography, petrology, mineralogy, crystallography [...]$fby J. O. Kettridge 210 $aLondon$cRoutledge & Kegan Paul Ltd.$d1949 215 $a2 v. (XVI, 1137 p. compl.)$d26 cm 327 0 $a1.: Volume 1 French - english$a2.: Volume 2 English - french 516 1 $aKettridge's Technical Dictionary 700 1$aKettridge,$bJulius Ornan$0490697 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990009830350403321 952 $aR 2/17$b0179.1$fDINGE 952 $aR 2/18$b0179.2$fDINGE 959 $aDINGE 996 $aFrench -english and english - french dictionary of technical terms and phrases used in civil, mechanical, electrical and mining engineering and allied sciences and industries$9835876 997 $aUNINA LEADER 01872nam 2200421Ia 450 001 9910701384403321 005 20120106133226.0 035 $a(CKB)5470000002417220 035 $a(OCoLC)771054596 035 $a(EXLCZ)995470000002417220 100 $a20120106d2011 ua 0 101 0 $aeng 135 $aurbn||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aGulf of Mexico OCS oil and gas lease sale, 2011$b[electronic resource] $eWestern Planning Area lease sale 218 : final supplemental environmental impact statement /$fBureau of Ocean Energy Management, Regulation and Enforcement, Gulf of Mexico OCS Region 210 1$aNew Orleans :$cU.S. Dept. of the Interior, Bureau of Ocean Energy Management, Regulation and Enforcement, Gulf of Mexico OCS Region,$d[2011] 215 $a1 online resource (996 unnumbered pages) $cillustrations, maps 300 $aTitle from title screen (viewed on Jan. 6, 2012). 300 $a"OCS EIS/EA." 300 $a"BOEMRE 2011-034." 300 $a"August 2011." 320 $aIncludes bibliographical references and index. 517 $aGulf of Mexico OCS oil and gas lease sale, 2011 606 $aOil and gas leases$xEnvironmental aspects$zMexico, Gulf of 606 $aOffshore oil industry$xEnvironmental aspects$zAmerica, Gulf of 606 $aOffshore gas industry$xEnvironmental aspects$zMexico, Gulf of 615 0$aOil and gas leases$xEnvironmental aspects 615 0$aOffshore oil industry$xEnvironmental aspects 615 0$aOffshore gas industry$xEnvironmental aspects 712 02$aUnited States.$bMinerals Management Service.$bGulf of Mexico OCS Region. 801 0$bGPO 801 1$bGPO 906 $aBOOK 912 $a9910701384403321 996 $aGulf of Mexico OCS oil and gas lease sale, 2011$93462999 997 $aUNINA LEADER 07415nam 22006855 450 001 9910427681103321 005 20251113185925.0 010 $a3-030-61527-8 024 7 $a10.1007/978-3-030-61527-7 035 $a(CKB)4100000011508770 035 $a(DE-He213)978-3-030-61527-7 035 $a(MiAaPQ)EBC6381100 035 $a(PPN)25386268X 035 $a(EXLCZ)994100000011508770 100 $a20201014d2020 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aDiscovery Science $e23rd International Conference, DS 2020, Thessaloniki, Greece, October 19?21, 2020, Proceedings /$fedited by Annalisa Appice, Grigorios Tsoumakas, Yannis Manolopoulos, Stan Matwin 205 $a1st ed. 2020. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2020. 215 $a1 online resource (XXI, 706 p. 227 illus., 147 illus. in color.) 225 1 $aLecture Notes in Artificial Intelligence,$x2945-9141 ;$v12323 311 08$a3-030-61526-X 327 $aClassification -- Evaluating Decision Makers over Selectively Labelled Data: A Causal Modelling Approach -- Mitigating Discrimination in Clinical Machine Learning Decision Support using Algorithmic Processing Techniques -- WeakAL: Combining Active Learning and Weak Supervision -- Clustering -- Constrained Clustering via Post-Processing -- Deep Convolutional Embedding for Painting Clustering: Case Study on Picasso's Artworks -- Dynamic Incremental Semi-Supervised Fuzzy Clustering for Bipolar Disorder Episode Prediction -- Iterative Multi-Mode Discretization: Applications to Co-Clustering -- Data and Knowledge Representation -- COVID-19 Therapy Target Discovery with Context-aware Literature Mining -- Semantic Annotation of Predictive Modelling Experiments -- Semantic Description of Data Mining Datasets: An Ontology-based Annotation Schema -- Data Streams -- FABBOO - Online Fairness-aware Learning under Class Imbalance -- FEAT: A Fairness-enhancing andConcept-adapting Decision Tree Classifer -- Unsupervised Concept Drift Detection using a Student{Teacher Approach -- Dimensionality Reduction and Feature Selection -- Assembled Feature Selection For Credit Scoring in Micro nance With Non-Traditional Features -- Learning Surrogates of a Radiative Transfer Model for the Sentinel 5P Satellite -- Nets versus Trees for Feature Ranking and Gene Network Inference -- Pathway Activity Score Learning Algorithm for Dimensionality Reduction of Gene Expression Data -- Machine learning for Modelling and Understanding in Earth Sciences -- Distributed Processing -- Balancing between Scalability and Accuracy in Time-Series Classification for Stream and Batch Settings -- DeCStor: A Framework for Privately and Securely Sharing Files Using a Public Blockchain -- Investigating Parallelization of MAML -- Ensembles -- Extreme Algorithm Selection with Dyadic Feature Representation -- Federated Ensemble Regression using Classification -- One-Class Ensembles for Rare Genomic Sequences Identification -- Explainable and Interpretable Machine Learning -- Explaining Sentiment Classi cation with Synthetic Exemplars and Counter-Exemplars -- Generating Explainable and Effective Data Descriptors Using Relational Learning: Application to Cancer Biology -- Interpretable Machine Learning with Bitonic Generalized Additive Models and Automatic Feature Construction -- Predicting and Explaining Privacy Risk Exposure in Mobility Data -- Graph and Network Mining -- Maximizing Network Coverage Under the Presence of Time Constraint by Injecting Most Effective k-Links -- On the Utilization of Structural and Textual Information of a Scientific Knowledge Graph to Discover Future Research Collaborations: a Link Prediction Perspective -- Simultaneous Process Drift Detection and Characterization with Pattern-based Change Detectors -- Multi-Target Models -- Extreme Gradient Boosted Multi-label Trees for Dynamic ClassifierChains -- Hierarchy Decomposition Pipeline: A Toolbox for Comparison of Model Induction Algorithms on Hierarchical Multi-label Classification Problems -- Missing Value Imputation with MERCS: a Faster Alternative to MissForest -- Multi-Directional Rule Set Learning -- On Aggregation in Ensembles of Multilabel Classifiers -- Neural Networks and Deep Learning -- Attention in Recurrent Neural Networks for Energy Disaggregation -- Enhanced Food Safety Through Deep Learning for Food Recalls Prediction -- Machine learning for Modelling and Understanding in Earth Sciences -- FairNN - Conjoint Learning of Fair Representations for Fair Decisions -- Improving Deep Unsupervised Anomaly Detection by Exploiting VAE Latent Space Distribution -- Spatial, Temporal and Spatiotemporal Data -- Detecting Temporal Anomalies in Business Processes using Distance-based Methods -- Mining Constrained Regions of Interest: An Optimization Approach -- Mining Disjoint Sequential Pattern Pairs from Tourist Trajectory Data -- Predicting the Health Condition of mHealth App Users with Large Differences in the Amount of Recorded Observations - Where to Learn from -- Spatiotemporal Traffic Anomaly Detection on Urban Road Network Using Tensor Decomposition Method -- Time Series Regression in Professional Road Cycling. 330 $aThis book constitutes the proceedings of the 23rd International Conference on Discovery Science, DS 2020, which took place during October 19-21, 2020. The conference was planned to take place in Thessaloniki, Greece, but had to change to an online format due to the COVID-19 pandemic. The 26 full and 19 short papers presented in this volume were carefully reviewed and selected from 76 submissions. The contributions were organized in topical sections named: classification; clustering; data and knowledge representation; data streams; distributed processing; ensembles; explainable and interpretable machine learning; graph and network mining; multi-target models; neural networks and deep learning; and spatial, temporal and spatiotemporal data. 410 0$aLecture Notes in Artificial Intelligence,$x2945-9141 ;$v12323 606 $aArtificial intelligence 606 $aApplication software 606 $aEducation$xData processing 606 $aData mining 606 $aInformation storage and retrieval systems 606 $aArtificial Intelligence 606 $aComputer and Information Systems Applications 606 $aComputers and Education 606 $aData Mining and Knowledge Discovery 606 $aInformation Storage and Retrieval 606 $aComputer and Information Systems Applications 615 0$aArtificial intelligence. 615 0$aApplication software. 615 0$aEducation$xData processing. 615 0$aData mining. 615 0$aInformation storage and retrieval systems. 615 14$aArtificial Intelligence. 615 24$aComputer and Information Systems Applications. 615 24$aComputers and Education. 615 24$aData Mining and Knowledge Discovery. 615 24$aInformation Storage and Retrieval. 615 24$aComputer and Information Systems Applications. 676 $a501 702 $aAppice$b Annalisa 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910427681103321 996 $aDiscovery Science$92968615 997 $aUNINA