LEADER 08479nam 22007215 450 001 996200028603316 005 20200705062937.0 010 $a3-319-18032-0 024 7 $a10.1007/978-3-319-18032-8 035 $a(CKB)3710000000416817 035 $a(SSID)ssj0001501315 035 $a(PQKBManifestationID)11968013 035 $a(PQKBTitleCode)TC0001501315 035 $a(PQKBWorkID)11522679 035 $a(PQKB)10154469 035 $a(DE-He213)978-3-319-18032-8 035 $a(MiAaPQ)EBC5587140 035 $a(Au-PeEL)EBL5587140 035 $a(OCoLC)908761342 035 $a(PPN)18602956X 035 $a(EXLCZ)993710000000416817 100 $a20150508d2015 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aAdvances in Knowledge Discovery and Data Mining$b[electronic resource] $e19th Pacific-Asia Conference, PAKDD 2015, Ho Chi Minh City, Vietnam, May 19-22, 2015, Proceedings, Part II /$fedited by Tru Cao, Ee-Peng Lim, Zhi-Hua Zhou, Tu-Bao Ho, David Cheung, Hiroshi Motoda 205 $a1st ed. 2015. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2015. 215 $a1 online resource (XXIX, 773 p. 237 illus.) 225 1 $aLecture Notes in Artificial Intelligence ;$v9078 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a3-319-18031-2 327 $aOpinion Mining and Sentiment Analysis -- Emotion Cause Detection for Chinese Micro-Blogs Based on ECOCC Model -- Parallel Recursive Deep Model for Sentiment Analysis -- Sentiment Analysis in Transcribed Utterances -- Rating Entities and Aspects Using a Hierarchical Model -- Sentiment Analysis on Microblogging by Integrating Text and Image Features -- TSum4act: A Framework for Retrieving and Summarizing Actionable Tweets during a Disaster for Reaction -- Clustering -- Evolving Chinese Restaurant Processes for Modeling Evolutionary Traces in Temporal Data -- Small-Variance Asymptotics for Bayesian Nonparametric Models with Constraints -- Spectral Clustering for Large-Scale Social Networks via a Pre-Coarsening Sampling Based Nyström Method -- pcStream: A Stream Clustering Algorithm for Dynamically Detecting and Managing Temporal Contexts -- Clustering Over Data Streams Based on Growing Neural Gas -- Computing and Mining ClustCube Cubes Efficiently -- Outlier and Anomaly Detection Contextual Anomaly Detection Using Log-Linear Tensor Factorization -- A Semi-Supervised Framework for Social Spammer Detection -- Fast One-Class Support Vector Machine for Novelty Detection -- ND-SYNC: Detecting Synchronized Fraud Activities -- An Embedding Scheme for Detecting Anomalous Block Structured Graphs -- A Core-Attach Based Method for Identifying Protein Complexes in Dynamic PPI Networks -- Mining Uncertain and Imprecise Data Mining Uncertain Sequential Patterns in Iterative MapReduce -- Quality Control for Crowdsourced POI Collection -- Towards Efficient Sequential Pattern Mining in Temporal Uncertain Databases -- Preference-Based Top-k Representative Skyline Queries on Uncertain Databases -- Cluster Sequence Mining: Causal Inference with Time and Space Proximity under Uncertainty -- Achieving Accuracy Guarantee for Answering Batch Queries with Differential Privacy -- Mining Temporal and Spatial Data Automated Classification of Passing in Football -- Stabilizing Sparse Cox Model Using Statistic and Semantic Structures in Electronic Medical Records -- Predicting Next Locations with Object Clustering and Trajectory Clustering -- A Plane Moving Average Algorithm for Short-Term Traffic Flow Prediction -- Recommending Profitable Taxi Travel Routes Based on Big Taxi Trajectories Data -- Semi Supervised Adaptive Framework for Classifying Evolving Data Stream -- Feature Extraction and Selection Cost-Sensitive Feature Selection on Heterogeneous Data -- A Feature Extraction Method for Multivariate Time Series Classification Using Temporal Patterns -- Scalable Outlying-Inlying Aspects Discovery via Feature Ranking -- A DC Programming Approach for Sparse Optimal Scoring -- Graph Based Relational Features for Collective Classification -- A New Feature Sampling Method in Random Forests for Predicting High-Dimensional Data -- Mining Heterogeneous, High Dimensional, and Sequential Data Seamlessly Integrating Effective Links with Attributes for Networked Data Classification -- Clustering on Multi-source Incomplete Data via Tensor Modeling and Factorization -- Locally Optimized Hashing for Nearest Neighbor Search -- Do-Rank: DCG Optimization for Learning-to-Rank in Tag-Based Item Recommendation Systems -- Efficient Discovery of Recurrent Routine Behaviours in Smart Meter Time Series by Growing Subsequences -- Convolutional Nonlinear Neighbourhood Components Analysis for Time Series Classification -- Entity Resolution and Topic Modelling Clustering-Based Scalable Indexing for Multi-party Privacy-Preserving Record Linkage -- Efficient Interactive Training Selection for Large-Scale Entity Resolution -- Unsupervised Blocking Key Selection for Real-Time Entity Resolution -- Incorporating Probabilistic Knowledge into Topic Models -- Learning Focused Hierarchical Topic Models with Semi-Supervision in Microblogs -- Predicting Future Links Between Disjoint Research Areas Using Heterogeneous Bibliographic Information Network -- Itemset and High Performance Data Mining CPT+: Decreasing the Time/Space Complexity of the Compact Prediction Tree -- Mining Association Rules in Graphs Based on Frequent Cohesive Itemsets -- Mining High Utility Itemsets in Big Data -- Decomposition Based SAT Encodings for Itemset Mining Problems -- A Comparative Study on Parallel LDA Algorithms in MapReduce Framework -- Distributed Newton Methods for Regularized Logistic Regression -- Recommendation -- Coupled Matrix Factorization Within Non-IID Context -- Complementary Usage of Tips and Reviews for Location Recommendation in Yelp -- Coupling Multiple Views of Relations for Recommendation -- Pairwise One Class Recommendation Algorithm -- RIT: Enhancing Recommendation with Inferred Trust. 330 $aThis two-volume set, LNAI 9077 + 9078, constitutes the refereed proceedings of the 19th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining, PAKDD 2015, held in Ho Chi Minh City, Vietnam, in May 2015. The proceedings contain 117 paper carefully reviewed and selected from 405 submissions. They have been organized in topical sections named: social networks and social media; classification; machine learning; applications; novel methods and algorithms; opinion mining and sentiment analysis; clustering; outlier and anomaly detection; mining uncertain and imprecise data; mining temporal and spatial data; feature extraction and selection; mining heterogeneous, high-dimensional, and sequential data; entity resolution and topic-modeling; itemset and high-performance data mining; and recommendations. 410 0$aLecture Notes in Artificial Intelligence ;$v9078 606 $aData mining 606 $aArtificial intelligence 606 $aInformation storage and retrieval 606 $aData Mining and Knowledge Discovery$3https://scigraph.springernature.com/ontologies/product-market-codes/I18030 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 606 $aInformation Storage and Retrieval$3https://scigraph.springernature.com/ontologies/product-market-codes/I18032 615 0$aData mining. 615 0$aArtificial intelligence. 615 0$aInformation storage and retrieval. 615 14$aData Mining and Knowledge Discovery. 615 24$aArtificial Intelligence. 615 24$aInformation Storage and Retrieval. 676 $a006.312 702 $aCao$b Tru$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aLim$b Ee-Peng$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aZhou$b Zhi-Hua$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aHo$b Tu-Bao$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aCheung$b David$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aMotoda$b Hiroshi$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996200028603316 996 $aAdvances in Knowledge Discovery and Data Mining$9772012 997 $aUNISA LEADER 05578nam 2200709 a 450 001 9910139627003321 005 20230803074003.0 010 $a1-283-20376-6 010 $a9786613203762 010 $a1-118-00345-4 010 $a1-118-00346-2 010 $a1-118-00344-6 035 $a(CKB)2550000000041200 035 $a(EBL)697493 035 $a(OCoLC)746324251 035 $a(SSID)ssj0000521615 035 $a(PQKBManifestationID)11355401 035 $a(PQKBTitleCode)TC0000521615 035 $a(PQKBWorkID)10523721 035 $a(PQKB)10422449 035 $a(MiAaPQ)EBC697493 035 $a(Au-PeEL)EBL697493 035 $a(CaPaEBR)ebr10484898 035 $a(CaONFJC)MIL320376 035 $a(PPN)171951581 035 $a(EXLCZ)992550000000041200 100 $a20100921d2011 uy 0 101 0 $aeng 135 $aurcn||||||||| 181 $ctxt 182 $cc 183 $acr 200 00$aComprehensive chromatography in combination with mass spectrometry$b[electronic resource] /$fedited by Luigi Mondello 210 1$aHoboken, N.J. :$cWiley,$dc2011. 215 $a1 online resource (497 p.) 225 1 $aWiley-Interscience series on mass spectrometry 225 1 $aTHEi Wiley ebooks 300 $aDescription based upon print version of record. 311 $a0-470-43407-4 320 $aIncludes bibliographical references and index. 327 $aComprehensive Chromatography in Combination with Mass Spectrometry; Contents; Contributors; Preface; 1. Introduction; 1.1 Two-Dimensional Chromatography-Mass Spectrometry: A 50-Year-Old Combination; 1.2 Shortcomings of One-Dimensional Chromatography; 1.3 Benefits of Two-Dimensional Chromatography; 1.4 Book Content; 1.5 Final Considerations; 2. Multidimensional Gas Chromatography: Theoretical Considerations; 2.1 Symbols; 2.2 One-Dimensional GC; 2.3 Comprehensive GC x GC; 3. Multidimensional Liquid Chromatography: Theoretical Considerations; 3.1 Two-Dimensional LC Techniques 327 $a3.2 Peak Capacity in HPLC: One- and Multidimensional Separations 3.3 Orthogonality in Two-Dimensional LC-LC Systems; 3.4 Sample Dimensionality and Structural Correlations; 3.5 Separation Selectivity and Selection of Phase Systems in Two-Dimensional LC-LC; 3.6 Programmed Elution in Two-Dimensional HPLC; 3.7 Fraction Transfer Modulation in Comprehensive LC x LC: Additional Band Broadening; 3.8 Future Perspectives; 4. History, Evolution, and Optimization Aspects of Comprehensive Two-Dimensional Gas Chromatography; 4.1 Fundamentals of GC x GC; 4.2 Modulation; 4.3 GC x GC Data Interpretation 327 $a4.4 GC x GC Instrumentation 4.5 Thermal Modulators; 4.6 Comprehensive Two-Dimensional GC Method Optimization; 4.7 Final Remarks; 5. Flow-Modulated Comprehensive Two-Dimensional Gas Chromatography; 5.1 Timing Requirements of GC x GC Modulators; 5.2 Criteria for Evaluating Modulators; 5.3 Forms of Modulation; 5.4 Single-Stage Flow Modulation; 5.5 Two-Stage Flow Modulation; 5.6 Summary of Flow Modulators; 5.7 Brief Comparison to Thermal Modulation; 5.8 Concluding Remarks; 6. Comprehensive Two-Dimensional Gas Chromatography Combined with Mass Spectrometry 327 $a6.1 Instrument Requirements for GC x GC-MS 6.2 Data Processing of GC x GC-TOF MS Results; 6.3 Method Translation in GC x GC-MS; 6.4 GC x MS; 6.5 Conventional and Alternative Modulation Techniques for GC x GC-MS; 6.6 GC x GC-MS Applications; 6.7 Concluding Remarks; 7. Detector Technologies and Applications in Comprehensive Two-Dimensional Gas Chromatography; 7.1 Detection in GC x GC; 7.2 Comments on GC x GC with Mass Spectrometry; 7.3 Flame Ionization Detection in GC x GC; 7.4 Electron Capture Detection in GC x GC; 7.5 Sulfur Chemiluminescence Detection in GC x GC 327 $a7.6 Nitrogen Chemiluminescence Detection in GC x GC 7.7 Atomic Emission Detection in GC x GC; 7.8 Thermionic Detection in GC x GC; 7.9 Flame Photometric Detection in GC x GC; 7.10 Case Study of GC x GC with Selective Detection; 7.11 Dual Detection with GC x GC; 7.12 Conclusions; 8. History, Evolution, and Optimization Aspects of Comprehensive Two-Dimensional Liquid Chromatography; 8.1 Method Development and Instrumentation; 8.2 Technical Problems in Comprehensive Liquid Chromatography; 8.3 Detection; 8.4 Data Representation; 8.5 Instrumentation 327 $a8.6 Milestones in Comprehensive Liquid Chromatography 330 $aThis book provides a detailed description of various multidimensional chromatographic separation techniques. The editor first provides an introduction to the area and then dives right into the various complex separation techniques. While still not used routinely comprehensive chromatography techniques will help acquaint the readers with the fundamentals and possible benefits of multi-dimensional separations coupled with mass spectrometry. The topics include a wide range of material that will appease all interested in either entering the field of multidimensional chromatography and those look 410 0$aWiley-Interscience series on mass spectrometry. 410 0$aTHEi Wiley ebooks. 606 $aChromatographic analysis 606 $aMultidimensional chromatography 615 0$aChromatographic analysis. 615 0$aMultidimensional chromatography. 676 $a543/.8 701 $aMondello$b Luigi$0295088 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910139627003321 996 $aComprehensive chromatography in combination with mass spectrometry$92270345 997 $aUNINA LEADER 03365nam 2200661Ia 450 001 9910952328003321 005 20200520144314.0 010 $a9786612538810 010 $a9781282538818 010 $a1282538810 010 $a9780226467139 010 $a0226467139 024 7 $a10.7208/9780226467139 035 $a(CKB)2520000000006469 035 $a(EBL)488101 035 $a(OCoLC)814522444 035 $a(SSID)ssj0000412185 035 $a(PQKBManifestationID)11305547 035 $a(PQKBTitleCode)TC0000412185 035 $a(PQKBWorkID)10366122 035 $a(PQKB)10603532 035 $a(DE-B1597)524946 035 $a(OCoLC)1135591208 035 $a(DE-B1597)9780226467139 035 $a(Au-PeEL)EBL488101 035 $a(CaPaEBR)ebr10366860 035 $a(CaONFJC)MIL253881 035 $a(MiAaPQ)EBC488101 035 $a(Perlego)1851297 035 $a(EXLCZ)992520000000006469 100 $a19940408d1994 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aAsia in the making of Europe$hVolume II$iA century of wonder$hBook Three$iThe scholary disciplines /$fDonald F. Lach 210 $aChicago $cUniversity of Chicago Press$d1994 215 $a1 online resource (442 pages) $cillustrations 300 $aDescription based upon print version of record. 311 08$a9780226467344 311 08$a0226467341 320 $aIncludes bibliographies and indexes. 327 $tFrontmatter --$tContents --$tList of Illustrations --$tIntroduction --$tCHAPTER IX. Technology and the Natural Sciences --$tCHAPTER X. Cartography and Geography --$tCHAPTER XI. Language and Linguistics --$tCHAPTER XII. Epilogue --$tGeneral Bibliography --$tChapter Bibliographies --$tIndex 330 $aPraised for its scope and depth, Asia in the Making of Europe is the first comprehensive study of Asian influences on Western culture. For volumes I and II, the author has sifted through virtually every European reference to Asia published in the sixteenth-century; he surveys a vast array of writings describing Asian life and society, the images of Asia that emerge from those writings, and, in turn, the reflections of those images in European literature and art. This monumental achievement reveals profound and pervasive influences of Asian societies on developing Western culture; in doing so, it provides a perspective necessary for a balanced view of world history. Volume I: The Century of Discovery brings together "everything that a European could know of India, Southeast Asia, China, and Japan, from printed books, missionary reports, traders' accounts and maps" (The New York Review of Books). Volume II: A Century of Wonder examines the influence of that vast new body of information about Asia on the arts, institutions, literatures, and ideas of sixteenth-century Europe. 606 $aEast and West$zAsia$xHistory 607 $aEurope$xCivilization$xOriental influences 607 $aAsia$xDiscovery and exploration 615 0$aEast and West$xHistory. 676 $a950 700 $aLach$b Donald F$g(Donald Frederick),$f1917-$061060 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910952328003321 996 $aAsia$9375656 997 $aUNINA