LEADER 02985nam 2200637 a 450 001 9910457470103321 005 20200520144314.0 010 $a1-283-30062-1 010 $a9786613300621 010 $a0-8213-8741-3 035 $a(CKB)2550000000050516 035 $a(EBL)787637 035 $a(OCoLC)757261322 035 $a(SSID)ssj0000569242 035 $a(PQKBManifestationID)12273123 035 $a(PQKBTitleCode)TC0000569242 035 $a(PQKBWorkID)10541674 035 $a(PQKB)11178175 035 $a(MiAaPQ)EBC787637 035 $a(Au-PeEL)EBL787637 035 $a(CaPaEBR)ebr10506403 035 $a(CaONFJC)MIL330062 035 $a(OCoLC)769188450 035 $a(EXLCZ)992550000000050516 100 $a20110715d2011 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 00$aIgniting innovation$b[electronic resource] $erethinking the role of government in emerging Europe and Central Asia /$fItzhak Goldberg ... [et al.] 210 $aWashington, D.C. $cWorld Bank$dc2011 215 $a1 online resource (188 p.) 300 $a"Europe and Central Asia Region." 311 $a0-8213-8740-5 320 $aIncludes bibliographical references (p. 157-165). 327 $aContents; Foreword; Acknowledgments; Contributors; Abbreviations; Overview; 1. Why innovation matters-and what the government should do about it; 2. Acquiring technology from abroad-leveraging the resources of foreign investors and inventors; 3. Connecting research to firms-options for reforming the public RDIs; 4. Bringing innovations to market-boosting private incentives through public instruments; References; Boxes; Figures; Tables 330 $aInnovation and technology absorption are now firmly recognized as one of the main sources of economic growth for emerging and advanced economies alike. That is why innovation is seen as a possible catalyst for revitalizing post-transition economies hit hard by the recent financial and economic crisis.Is government intervention needed to foster innovation in post-transition economies? This is the central question to which this book responds. The answer is yes, but a qualified yes. Innovation activities are rife with market failures that tend to hold back private investment. And badly designed o 606 $aResearch, Industrial$xEconomic aspects 606 $aEndowment of research$zEurope 606 $aEndowment of research$zAsia 606 $aGovernment spending policy 608 $aElectronic books. 615 0$aResearch, Industrial$xEconomic aspects. 615 0$aEndowment of research 615 0$aEndowment of research 615 0$aGovernment spending policy. 676 $a338/.064094 701 $aGoldberg$b Itzhak$f1947-$0912075 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910457470103321 996 $aIgniting innovation$92284980 997 $aUNINA LEADER 06907nam 22006975 450 001 9910739482103321 005 20251226202826.0 010 $a3-642-37453-0 024 7 $a10.1007/978-3-642-37453-1 035 $a(CKB)3280000000007599 035 $a(DE-He213)978-3-642-37453-1 035 $a(SSID)ssj0000904548 035 $a(PQKBManifestationID)11506343 035 $a(PQKBTitleCode)TC0000904548 035 $a(PQKBWorkID)10939012 035 $a(PQKB)11716150 035 $a(MiAaPQ)EBC3093339 035 $a(PPN)169140407 035 $a(EXLCZ)993280000000007599 100 $a20130407d2013 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aAdvances in Knowledge Discovery and Data Mining $e17th Pacific-Asia Conference, PAKDD 2013, Gold Coast, Australia, April 14-17, 2013, Proceedings, Part I /$fedited by Jian Pei, Vincent S. Tseng, Longbing Cao, Hiroshi Motoda, Guandong Xu 205 $a1st ed. 2013. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2013. 215 $a1 online resource (XXII, 610 p. 199 illus.) 225 1 $aLecture Notes in Artificial Intelligence,$x2945-9141 ;$v7818 300 $aInternational conference proceedings. 311 08$a3-642-37452-2 320 $aIncludes bibliographical references and index. 327 $aDiscovering Local Subgroups, with an Application to Fraud Detection -- PUF-Tree: A Compact Tree Structure for Frequent Pattern Mining of Uncertain Data -- Frequent Pattern Mining in Attributed Trees -- Mining Frequent Patterns from Human Interactions in Meetings Using Directed Acyclic Graphs -- ClaSP: An Efficient Algorithm for Mining Frequent Closed Sequences -- Efficient Mining of Contrast Patterns on Large Scale Imbalanced Real-Life Data -- Online Cross-Lingual PLSI for Evolutionary Theme Patterns Analysis -- F-Trail: Finding Patterns in Taxi Trajectories -- Mining Appliance Usage Patterns in Smart Home Environment -- Computational Models of Stress in Reading Using Physiological and Physical Sensor Data -- Latent Patient Profile Modelling and Applications with Mixed-Variate Restricted Boltzmann Machine -- MassBayes: A New Generative Classifier with Multi-dimensional Likelihood Estimation -- Fast and Effective Single Pass Bayesian Learning -- Sparse Reductions for Fixed-Size Least Squares Support Vector Machines on Large Scale Data -- Discovery of Regional Co-location Patterns with k-Nearest Neighbor Graph -- Spectral Decomposition for Optimal Graph Index Prediction -- Patterns amongst Competing Task Frequencies: Super-Linearities, and the Almond-DG Model -- Node Classification in Social Network via a Factor Graph Model -- Fast Graph Stream Classification Using Discriminative Clique Hashing -- Mining Interesting Itemsets in Graph Datasets -- Robust Synchronization-Based Graph Clustering -- Efficient Mining of Combined Subspace and Subgraph Clusters in Graphs with Feature Vectors -- Exploiting Temporal Information in a Two-Stage Classification Framework for Content-Based Depression Detection -- EEG-Based Person Verification Using Multi-Sphere SVDD and UBM -- Measuring Reproducibility of High-Throughput Deep-Sequencing Experiments Based on Self-adaptive Mixture Copula -- Mining Representative Movement Patterns through Compression -- NARGES: Prediction Model for Informed Routing in a Communications Network -- Mining Usage Traces of Mobile Apps for Dynamic Preference Prediction -- Leveraging Hybrid Citation Context for Impact Summarization -- Optimal Allocation of High Dimensional Assets through Canonical Vines -- Inducing Context Gazetteers from Encyclopedic Databases for Named Entity Recognition -- An Optimization Method for Proportionally Diversifying Search Results -- Joint Na?ve Bayes and LDA for Unsupervised Sentiment Analysis -- An Unsupervised Learning Model to Perform Side Channel Attack -- Decisive Supervised Learning -- Learning Overlap Optimization for Domain Decomposition Methods -- CLUEKR : CLUstering Based Efficient kNN Regression -- AREM: A Novel Associative Regression Model Based on EM Algorithm -- One-Class Transfer Learning with Uncertain Data -- Time Series Forecasting Using Distribution Enhanced Linear Regression -- Twin Bridge Transfer Learning for Sparse Collaborative Filtering -- Dimensionality Reduction with Dimension Selection -- Multi-View Visual Classification via a Mixed-Norm Regularizer -- Mining Specific Features for Acquiring User Information Needs -- Ensemble-Based Wrapper Methods for Feature Selection and Class Imbalance Learning -- Exploring Groups from Heterogeneous Data via Sparse Learning -- Multiplex Topic Models -- Integrating Clustering and Ranking on Hybrid Heterogeneous Information Network -- Learning from Multiple Observers with Unknown Expertise. 330 $aThe two-volume set LNAI 7818 + LNAI 7819 constitutes the refereed proceedings of the 17th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2013, held in Gold Coast, Australia, in April 2013. The total of 98 papers presented in these proceedings was carefully reviewed and selected from 363 submissions. They cover the general fields of data mining and KDD extensively, including pattern mining, classification, graph mining, applications, machine learning, feature selection and dimensionality reduction, multiple information sources mining, social networks, clustering, text mining, text classification, imbalanced data, privacy-preserving data mining, recommendation, multimedia data mining, stream data mining, data preprocessing and representation. 410 0$aLecture Notes in Artificial Intelligence,$x2945-9141 ;$v7818 606 $aData mining 606 $aArtificial intelligence 606 $aInformation storage and retrieval systems 606 $aData Mining and Knowledge Discovery 606 $aArtificial Intelligence 606 $aInformation Storage and Retrieval 615 0$aData mining. 615 0$aArtificial intelligence. 615 0$aInformation storage and retrieval systems. 615 14$aData Mining and Knowledge Discovery. 615 24$aArtificial Intelligence. 615 24$aInformation Storage and Retrieval. 676 $a006.3/12 702 $aPei$b Jian$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aTseng$b Vincent S.$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aCao$b Longbing$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aMotoda$b Hiroshi$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aXu$b Guandong$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910739482103321 996 $aAdvances in Knowledge Discovery and Data Mining$9772012 997 $aUNINA