LEADER 06429nam 22007695 450 001 996466222803316 005 20200703140607.0 010 $a3-540-31698-1 010 $a3-540-29230-6 024 7 $a10.1007/11563983 035 $a(CKB)1000000000213296 035 $a(SSID)ssj0000317235 035 $a(PQKBManifestationID)11247718 035 $a(PQKBTitleCode)TC0000317235 035 $a(PQKBWorkID)10287794 035 $a(PQKB)10938515 035 $a(DE-He213)978-3-540-31698-5 035 $a(MiAaPQ)EBC3067840 035 $a(PPN)123098017 035 $a(EXLCZ)991000000000213296 100 $a20100319d2005 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aDiscovery Science$b[electronic resource] $e8th International Conference, DS 2005, Singapore, October 8-11, 2005, Proceedings /$fedited by Achim Hoffmann, Hiroshi Motoda, Tobias Scheffer 205 $a1st ed. 2005. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2005. 215 $a1 online resource (XVI, 404 p.) 225 1 $aLecture Notes in Artificial Intelligence ;$v3735 300 $aBibliographic Level Mode of Issuance: Monograph 311 08$aPrinted edition: 9783540292302 320 $aIncludes bibliographical references and index. 327 $aInvited Papers -- Invention and Artificial Intelligence -- Algorithms and Software for Collaborative Discovery from Autonomous, Semantically Heterogeneous, Distributed Information Sources -- Training Support Vector Machines via SMO-Type Decomposition Methods -- The Robot Scientist Project -- The Arrowsmith Project: 2005 Status Report -- Regular Contributions - Long Papers -- Practical Algorithms for Pattern Based Linear Regression -- Named Entity Recognition for the Indonesian Language: Combining Contextual, Morphological and Part-of-Speech Features into a Knowledge Engineering Approach -- Bias Management of Bayesian Network Classifiers -- A Bare Bones Approach to Literature-Based Discovery: An Analysis of the Raynaud?s/Fish-Oil and Migraine-Magnesium Discoveries in Semantic Space -- Assisting Scientific Discovery with an Adaptive Problem Solver -- Cross-Language Mining for Acronyms and Their Completions from the Web -- Mining Frequent ?-Free Patterns in Large Databases -- An Experiment with Association Rules and Classification: Post-Bagging and Conviction -- Movement Analysis of Medaka (Oryzias Latipes) for an Insecticide Using Decision Tree -- Support Vector Inductive Logic Programming -- Measuring Over-Generalization in the Minimal Multiple Generalizations of Biosequences -- The q-Gram Distance for Ordered Unlabeled Trees -- Monotone Classification by Function Decomposition -- Learning On-Line Classification via Decorrelated LMS Algorithm: Application to Brain-Computer Interfaces -- An Algorithm for Mining Implicit Itemset Pairs Based on Differences of Correlations -- Pattern Classification via Single Spheres -- SCALETRACK: A System to Discover Dynamic Law Equations Containing Hidden States and Chaos -- Exploring Predicate-Argument Relations for Named Entity Recognition in the Molecular Biology Domain -- Massive Biomedical Term Discovery -- Active Constrained Clustering by Examining Spectral Eigenvectors -- Learning Ontology-Aware Classifiers -- Regular Contributions - Regular Papers -- Automatic Extraction of Proteins and Their Interactions from Biological Text -- A Data Analysis Approach for Evaluating the Behavior of Interestingness Measures -- Unit Volume Based Distributed Clustering Using Probabilistic Mixture Model -- Finding Significant Web Pages with Lower Ranks by Pseudo-Clique Search -- CLASSIC?CL: An Integrated ILP System -- Detecting and Revising Misclassifications Using ILP -- Project Reports -- Self-generation of Control Rules Using Hierarchical and Nonhierarchical Clustering for Coagulant Control of Water Treatment Plants -- A Semantic Enrichment of Data Tables Applied to Food Risk Assessment -- Knowledge Discovery Through Composited Visualization, Navigation and Retrieval -- A Tabu Clustering Method with DHB Operation and Mergence and Partition Operation -- Discovering User Preferences by Using Time Entries in Click-Through Data to Improve Search Engine Results -- Network Boosting for BCI Applications -- Rule-Based FCM: A Relational Mapping Model -- Effective Classifier Pruning with Rule Information -- Text Mining for Clinical Chinese Herbal Medical Knowledge Discovery. 410 0$aLecture Notes in Artificial Intelligence ;$v3735 606 $aPhilosophy and science 606 $aArtificial intelligence 606 $aDatabase management 606 $aInformation storage and retrieval 606 $aApplication software 606 $aPhilosophy of Science$3https://scigraph.springernature.com/ontologies/product-market-codes/E34000 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 606 $aDatabase Management$3https://scigraph.springernature.com/ontologies/product-market-codes/I18024 606 $aInformation Storage and Retrieval$3https://scigraph.springernature.com/ontologies/product-market-codes/I18032 606 $aComputer Appl. in Administrative Data Processing$3https://scigraph.springernature.com/ontologies/product-market-codes/I2301X 606 $aComputer Appl. in Social and Behavioral Sciences$3https://scigraph.springernature.com/ontologies/product-market-codes/I23028 615 0$aPhilosophy and science. 615 0$aArtificial intelligence. 615 0$aDatabase management. 615 0$aInformation storage and retrieval. 615 0$aApplication software. 615 14$aPhilosophy of Science. 615 24$aArtificial Intelligence. 615 24$aDatabase Management. 615 24$aInformation Storage and Retrieval. 615 24$aComputer Appl. in Administrative Data Processing. 615 24$aComputer Appl. in Social and Behavioral Sciences. 676 $a501 702 $aHoffmann$b Achim$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aMotoda$b Hiroshi$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aScheffer$b Tobias$4edt$4http://id.loc.gov/vocabulary/relators/edt 712 12$aDS 2005 906 $aBOOK 912 $a996466222803316 996 $aDiscovery Science$9772321 997 $aUNISA LEADER 06468oam 22012614a 450 001 9910967880203321 005 20251009142640.0 010 $a0-8157-5345-4 010 $a0-8157-3277-5 024 7 $a10.5040/9780815753452 035 $a(CKB)4100000007002628 035 $a(MiAaPQ)EBC5180001 035 $a(OCoLC)1057232324 035 $a(MdBmJHUP)muse61382 035 $a(Perlego)742330 035 $a(OCoLC)1182867268$z(OCoLC)1057232324$z(OCoLC)1078886470$z(OCoLC)1080948772$z(OCoLC)1090365541$z(OCoLC)1099701889$z(OCoLC)1100440592$z(OCoLC)1107710044$z(OCoLC)1110318470$z(OCoLC)1125221485$z(OCoLC)1150099111$z(OCoLC)1258905522$z(OCoLC)1260321939$z(OCoLC)1262682056$z(OCoLC)1289520626$z(OCoLC)1290101567 035 $a(UkLoBP)BP9780815753452BC 035 $a(EXLCZ)994100000007002628 100 $a20181102d2018 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aPutin's counterrevolution /$fSergey Aleksashenko 205 $a1st ed. 210 1$aWashington, D.C. :$cBrookings Institution Press,$d[2018] 210 2$aNew York :$cBloomsbury Publishing(US),$d2018. 210 4$dİ2018 215 $a1 online resource (xxii, 325 pages) $cillustrations 311 08$a0-8157-3276-7 320 $aIncludes bibliographical references and index. 327 $aFront Cover -- Title Page -- Copyright Information -- Table of Contents -- Preface and Acknowledgments -- Chronology of Putin's Russia -- Economic Roller Coaster: 2000-17 -- Transformation Derailed: The Decline of Democratic Reforms and the Ascent of Putin -- The Key Element of Control: Freedom of Speech -- A Unifying System of Power -- Just a Dream: Obedient Court -- Preventing Competition -- Risky Business -- Nothing Personal, Just Your Business -- Looking Forward -- Index -- Back Cover. 330 $aDuring his nearly twenty years at the center of Russian political power, Vladimir Putin has transformed the vast country in many ways, not all of them for the better. The near-chaos of the early post-Soviet years has been replaced by an increasingly rigid authoritarianism, resembling a hard-fisted monarchy more than the previous communist dictatorship. Putin's early years in power saw rapid economic growth, averaging nearly 7 percent annually, and the rise of Moscow as a vibrant European-style city. But a slowdown during the second half of Putin's administration, since 2009, has resulted in the stagnation of the economy, especially in the hinterlands, with few signs of a possible turnaround. What accounted for these changes in Russia? Sergey Aleksashenko, a former top Russian finance official and then private businessman, lays the blame squarely on Putin himself, even more than external factors such as the sharp fall in oil prices or Western sanctions after Russia's annexation of Crimea in 2014. In his relentless drive to consolidate power in his own hands, Aleksashenko writes, Putin has destroyed the very idea of competition for political power. He has done so by systematically undercutting basic political institutions of the post-Soviet Russian state, including independent power centers such as the parliament, the judiciary, and a free media. In the economic realm, Putin effectively undermined Russia's still-emerging and very fragile system for protecting property rights--the basis of all economic activity. This in turn caused a sharp decline in private investment and thus contributed to the long-term economic slowdown. One result of Putin's rule was the destruction of the emerging checks and balances system in Russia, and that would be a major problem for Russia if and when it decides to become a "normal" democratic country based on Western values. 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