LEADER 01166nam0-22002771i-450- 001 990001656630403321 005 20050502094107.0 035 $a000165663 035 $aFED01000165663 035 $a(Aleph)000165663FED01 035 $a000165663 100 $a20030910d1964----km-y0itay50------ba 101 0 $aita 200 1 $aTipi edilizi ed insediamenti urbanistici conseguenti al processo di trasformazione dell'economia agricola$el'ediliziascolastica per l'istruzione media, media superiore ed universitaria e la sua localizzazione territoriale$ericerche dell'VIII Congresso nazionale dell'edilizia e dell'abitazione indetto dall'AGERE, Ancona, 28 maggio-2 giugno 1964 210 $aRoma$cAGERE$d1964 215 $aXX, 252 p.$d25 cm 610 0 $aIngegneria civile 676 $a624 710 12$aCongresso nazionale dell'edilizia e dell'abitazione,$d8.$f<1964 ;$eAncona>$0353922 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990001656630403321 952 $a60 624 B 7$fFAGBC 959 $aFAGBC 996 $aTipi edilizi ed insediamenti urbanistici conseguenti al processo di trasformazione dell'economia agricola$9372931 997 $aUNINA LEADER 01852oam 2200517I 450 001 9910711356103321 005 20180906081006.0 035 $a(CKB)5470000002482470 035 $a(OCoLC)965548999$z(OCoLC)953290030 035 $a(OCoLC)995470000002482470 035 $a(EXLCZ)995470000002482470 100 $a20161207d1955 ua 0 101 0 $aeng 135 $aurbn||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aGeology and ground-water supplies of the Fort Wingate Indian School area, McKinley County, New Mexico /$fby J.T. Callahan and R.L. Cushman ; prepared in cooperation with the Bureau of Indian Affairs 210 1$aWashington, D.C. :$cUnited States Department of the Interior, Geological Survey,$d1965. 215 $a1 online resource (12 pages) $cillustrations, maps 225 1 $aGeological Survey circular ;$v360 320 $aIncludes bibliographical references (page 8). 517 3 $aFort Wingate Indian School, N.M. 606 $aWater-supply$zNew Mexico$zMcKinley County 606 $aGroundwater$zNew Mexico$zMcKinley County 606 $aGroundwater$2fast 606 $aWater-supply$2fast 607 $aNew Mexico$zMcKinley County$2fast 615 0$aWater-supply 615 0$aGroundwater 615 7$aGroundwater. 615 7$aWater-supply. 700 $aCallahan$b J. T.$01417159 702 $aCushman$b R. L. 712 02$aGeological Survey (U.S.), 712 02$aUnited States.$bBureau of Indian Affairs. 801 0$bOCLCE 801 1$bOCLCE 801 2$bCOP 801 2$bOCLCF 801 2$bOCLCQ 801 2$bGPO 906 $aBOOK 912 $a9910711356103321 996 $aGeology and ground-water supplies of the Fort Wingate Indian School area, McKinley County, New Mexico$93524682 997 $aUNINA LEADER 07447nam 22007695 450 001 9910337562003321 005 20251113194310.0 010 $a3-030-18576-1 024 7 $a10.1007/978-3-030-18576-3 035 $a(CKB)4100000007992458 035 $a(DE-He213)978-3-030-18576-3 035 $a(MiAaPQ)EBC5925388 035 $a(PPN)235668672 035 $a(EXLCZ)994100000007992458 100 $a20190423d2019 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aDatabase Systems for Advanced Applications $e24th International Conference, DASFAA 2019, Chiang Mai, Thailand, April 22?25, 2019, Proceedings, Part I /$fedited by Guoliang Li, Jun Yang, Joao Gama, Juggapong Natwichai, Yongxin Tong 205 $a1st ed. 2019. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2019. 215 $a1 online resource (XXIV, 817 p.) 225 1 $aInformation Systems and Applications, incl. Internet/Web, and HCI,$x2946-1642 ;$v11446 311 08$a3-030-18575-3 327 $aBig Data -- Accelerating Real-time Tracking Applications over Big Data Stream with Constrained Space -- A Frequency Scaling based Performance Indicator Framework for Big Data Systems -- A Time-Series Sockpuppet Detection Method for Dynamic Social Relationships -- Accelerating Hybrid Transactional/Analytical Processing using Consistent Dual-Snapshot -- HSDS: an Abstractive Model for Automatic Survey Generation -- PU-Shapelets: Towards Pattern-based Positive Unlabeled Classification of Time Series -- Clustering and Classification -- Discovering Relationship Patterns among Associated Temporal Event Sequences -- Efficient Mining of Event Periodicity in Data Series -- EPPADS: An Enhanced Phase-based Performance-Aware Dynamic Scheduler for High Job Execution Performance in Large Scale Data Clusters -- Incremental Discovery of Order Dependencies on Tuple Insertions -- Multi-view Spectral Clustering via Weighted-view Consensus Similarity and Matrix-decomposition based Discretization.-SIRCS: Slope-intercept-residual Compression by Correlation Sequencing for Multi-stream High Variation Data -- Crowdsourcing -- Fast Quorum-based Log Replication and Replay for Fast Databases -- PDCS: A Privacy-preserving Distinct Counting Scheme for Mobile Sensing -- Reinforced Reliable Worker Selection for Spatial Crowdsensing Networks -- SeqST-ResNet: A Sequential Spatial Temporal ResNet for Task Prediction in Spatial Crowdsourcing -- Towards Robust Arbitrarily Oriented Subspace Clustering -- Truthful Crowdsensed Data Trading Based on Reverse Auction and Blockchain -- Data Integration -- Selective Matrix Factorization for Multi-Relational Data Fusion -- Selectivity Estimation on Set Containment Search -- Typicality-based Across-time Mapping of Entity Sets in Document Archives -- Unsupervised Entity Alignment using Attribute Triples and Relation Triples -- Combining Meta-Graph and Attention for Recommendation over Heterogeneous Information Network -- Efficient Search of the Most Cohesive Co-Located Community in Attributed Networks -- Embedding -- A Weighted Word Embedding Model for Text Classification -- Bipartite Network Embedding via Effective Integration of Explicit and Implicit Relations -- Enhancing Network Embedding with Implicit Clustering -- MDAL: Multi-task Dual Attention LSTM Model for Semi-supervised Network Embedding -- Net2Text: An Edge Labelling Language Model for Personalized Comment Generation -- Understanding Information Diffusion via Heterogeneous Information Network Embeddings -- Graphs -- Distributed Parallel Structural Hole Detection on Big Graphs -- DynGraphGAN: Dynamic Graph Embedding via Generative Adversarial Networks -- Evaluating Mixed Patterns on Large Data Graphs Using Bitmap Views -- Heterogeneous Information Network Hashing for Fast Nearest Neighbor Search -- Learning Fine-grained Patient Similarity with Dynamic Bayesian Network Embedded RNNs -- Towards Efficient k-TriPeak Decomposition on Large Graphs -- Knowledge Graph -- Evaluating the Choice of Tags in CQA Sites -- Fast Maximal Clique Enumeration for Real-world Graphs -- Leveraging Knowledge Graph Embeddings for Natural Language Question Answering -- Measuring Semantic Relatedness with Knowledge Association Network -- SINE: Side Information Network Embedding -- A Knowledge Graph Enhanced Topic Modeling Approach for Herb Recommendation -- Knowledge Base Error Detection with Relation Sensitive Embedding -- Leon: A Distributed RDF Engine for Multi-query Processing -- MathGraph: A knowledge graph for solving mathematical exercises -- Multi-Hop Path Queries over Knowledge Graphs with Neural Memory Networks -- Sentiment Classification by Leveraging the Shared Knowledge. 330 $aThis two-volume set LNCS 11446 and LNCS 11447 constitutes the refereed proceedings of the 24th International Conference on Database Systems for Advanced Applications, DASFAA 2019, held in Chiang Mai, Thailand, in April 2019. The 92 full papers and 64 short papers were carefully selected from a total of 501 submissions. In addition, 13 demo papers and 6 tutorial papers are included. The full papers are organized in the following topics: big data; clustering and classification; crowdsourcing; data integration; embedding; graphs; knowledge graph; machine learning; privacy and graph; recommendation; social network; spatial; and spatio-temporal. The short papers, demo papers, and tutorial papers can be found in the volume LNCS 11448, which also includes the workshops of DASFAA 2019. 410 0$aInformation Systems and Applications, incl. Internet/Web, and HCI,$x2946-1642 ;$v11446 606 $aDatabase management 606 $aData mining 606 $aInformation storage and retrieval systems 606 $aArtificial intelligence 606 $aSocial sciences$xData processing 606 $aComputer networks 606 $aDatabase Management 606 $aData Mining and Knowledge Discovery 606 $aInformation Storage and Retrieval 606 $aArtificial Intelligence 606 $aComputer Application in Social and Behavioral Sciences 606 $aComputer Communication Networks 615 0$aDatabase management. 615 0$aData mining. 615 0$aInformation storage and retrieval systems. 615 0$aArtificial intelligence. 615 0$aSocial sciences$xData processing. 615 0$aComputer networks. 615 14$aDatabase Management. 615 24$aData Mining and Knowledge Discovery. 615 24$aInformation Storage and Retrieval. 615 24$aArtificial Intelligence. 615 24$aComputer Application in Social and Behavioral Sciences. 615 24$aComputer Communication Networks. 676 $a005.7565 676 $a005.74 702 $aLi$b Guoliang$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aYang$b Jun$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aGama$b Joao$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aNatwichai$b Juggapong$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aTong$b Yongxin$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910337562003321 996 $aDatabase Systems for Advanced Applications$9772450 997 $aUNINA