05604nam 22007094a 450 991014607790332120170815114025.01-280-36625-797866103662550-470-30781-10-471-45864-30-471-44835-4(CKB)1000000000018977(EBL)159847(OCoLC)123112222(SSID)ssj0000295984(PQKBManifestationID)11250991(PQKBTitleCode)TC0000295984(PQKBWorkID)10322357(PQKB)10628633(MiAaPQ)EBC159847(EXLCZ)99100000000001897720021105d2003 uy 0engur|n|---|||||txtccrExploratory data mining and data cleaning[electronic resource] /Tamraparni Dasu, Theorodre JohnsonNew York Wiley-Interscience20031 online resource (226 p.)Wiley series in probability and statisticsDescription based upon print version of record.0-471-26851-8 Includes bibliographical references (p. 189-195) and index.Exploratory Data Mining and Data Cleaning; Contents; Preface; 1. Exploratory Data Mining and Data Cleaning: An Overview; 1.1 Introduction; 1.2 Cautionary Tales; 1.3 Taming the Data; 1.4 Challenges; 1.5 Methods; 1.6 EDM; 1.6.1 EDM Summaries-Parametric; 1.6.2 EDM Summaries-Nonparametric; 1.7 End-to-End Data Quality (DQ); 1.7.1 DQ in Data Preparation; 1.7.2 EDM and Data Glitches; 1.7.3 Tools for DQ; 1.7.4 End-to-End DQ: The Data Quality Continuum; 1.7.5 Measuring Data Quality; 1.8 Conclusion; 2. Exploratory Data Mining; 2.1 Introduction; 2.2 Uncertainty; 2.2.1 Annotated Bibliography2.3 EDM: Exploratory Data Mining2.4 EDM Summaries; 2.4.1 Typical Values; 2.4.2 Attribute Variation; 2.4.3 Example; 2.4.4 Attribute Relationships; 2.4.5 Annotated Bibliography; 2.5 What Makes a Summary Useful?; 2.5.1 Statistical Properties; 2.5.2 Computational Criteria; 2.5.3 Annotated Bibliography; 2.6 Data-Driven Approach-Nonparametric Analysis; 2.6.1 The Joy of Counting; 2.6.2 Empirical Cumulative Distribution Function (ECDF); 2.6.3 Univariate Histograms; 2.6.4 Annotated Bibliography; 2.7 EDM in Higher Dimensions; 2.8 Rectilinear Histograms; 2.9 Depth and Multivariate Binning2.9.1 Data Depth2.9.2 Aside: Depth-Related Topics; 2.9.3 Annotated Bibliography; 2.10 Conclusion; 3. Partitions and Piecewise Models; 3.1 Divide and Conquer; 3.1.1 Why Do We Need Partitions?; 3.1.2 Dividing Data; 3.1.3 Applications of Partition-Based EDM Summaries; 3.2 Axis-Aligned Partitions and Data Cubes; 3.2.1 Annotated Bibliography; 3.3 Nonlinear Partitions; 3.3.1 Annotated Bibliography; 3.4 DataSpheres (DS); 3.4.1 Layers; 3.4.2 Data Pyramids; 3.4.3 EDM Summaries; 3.4.4 Annotated Bibliography; 3.5 Set Comparison Using EDM Summaries; 3.5.1 Motivation; 3.5.2 Comparison Strategy3.5.3 Statistical Tests for Change3.5.4 Application-Two Case Studies; 3.5.5 Annotated Bibliography; 3.6 Discovering Complex Structure in Data with EDM Summaries; 3.6.1 Exploratory Model Fitting in Interactive Response Time; 3.6.2 Annotated Bibliography; 3.7 Piecewise Linear Regression; 3.7.1 An Application; 3.7.2 Regression Coefficients; 3.7.3 Improvement in Fit; 3.7.4 Annotated Bibliography; 3.8 One-Pass Classification; 3.8.1 Quantile-Based Prediction with Piecewise Models; 3.8.2 Simulation Study; 3.8.3 Annotated Bibliography; 3.9 Conclusion; 4. Data Quality; 4.1 Introduction4.2 The Meaning of Data Quality4.2.1 An Example; 4.2.2 Data Glitches; 4.2.3 Conventional Definition of DQ; 4.2.4 Times Have Changed; 4.2.5 Annotated Bibliography; 4.3 Updating DQ Metrics: Data Quality Continuum; 4.3.1 Data Gathering; 4.3.2 Data Delivery; 4.3.3 Data Monitoring; 4.3.4 Data Storage; 4.3.5 Data Integration; 4.3.6 Data Retrieval; 4.3.7 Data Mining/Analysis; 4.3.8 Annotated Bibliography; 4.4 The Meaning of Data Quality Revisited; 4.4.1 Data Interpretation; 4.4.2 Data Suitability; 4.4.3 Dataset Type; 4.4.4 Attribute Type; 4.4.5 Application Type4.4.6 Data Quality-A Many Splendored ThingWritten for practitioners of data mining, data cleaning and database management. Presents a technical treatment of data quality including process, metrics, tools and algorithms.Focuses on developing an evolving modeling strategy through an iterative data exploration loop and incorporation of domain knowledge.Addresses methods of detecting, quantifying and correcting data quality issues that can have a significant impact on findings and decisions, using commercially available tools as well as new algorithmic approaches.Uses case studies to illustrate applications in realWiley series in probability and statistics.Data miningElectronic data processingData preparationElectronic data processingQuality controlElectronic books.Data mining.Electronic data processingData preparation.Electronic data processingQuality control.005.741006.3006.312Dasu Tamraparni281835Johnson Theodore281836MiAaPQMiAaPQMiAaPQBOOK9910146077903321Exploratory data mining and data cleaning673537UNINA05763nam 22004933 450 991079442640332120231110225338.0(CKB)4100000011882383(MiAaPQ)EBC6548799(Au-PeEL)EBL6548799(OCoLC)1240265694(EXLCZ)99410000001188238320210901d2021 uy 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierUsage-based and typological approaches to linguistic unitsTsuyoshi OnoAmsterdamJohn Benjamins2021©2021.1 online resource (212 pages)Benjamins Current Topics vol. 114978-90-272-0883-2 Intro -- Usage-based and Typological Approaches to Linguistic Units -- Editorial page -- Title page -- Copyright page -- Table of contents -- On the notion of unit in the study of human languages -- Tsuyoshi Ono, Ritva Laury and Ryoko SuzukiUniversity of Alberta | University of Helsinki | Keio University -- 1.Introduction -- 1.1The notion of unit in linguistics -- 1.2Unit in individual languages -- 1.3Cross-linguistic perspective and functional motivation -- 1.4Units and criteria to identify them in interactional linguistics -- 2.Short summary of papers -- Acknowledgements -- References -- Understanding 'clause' as an emergent 'unit' in everyday conversation -- Sandra A. ThompsonUniversity of California, Santa Barbara -- 1.Introduction -- 2.Problematizing 'social action' -- 3.Problematizing 'clause': 'Clause' as 'predicate-plus' -- 4.Clauses as vehicles for social action -- 4.1Directive-commissive actions -- 4.2Assessments -- 4.3Informings -- 4.4Assertions -- 4.5Requests for information -- 5.Social actions not done by clauses -- 6.Scaffolding -- 7.Conclusion and outlook -- Acknowledgements -- References -- Appendix.Transcription symbols14.Much of the empirical material used for this study was originally transcribed by Gail Jefferson. I have retained her transcription in large part but I have normalized the orthography. For an overview of Jefferson's system as it evolved over time, see Jefferson (2004). The materials used for this paper have by and large been transcribed using this system. For the layout of the transcription symbol list below we have been inspired by Hepburn &amp -- Bolden (2013). -- Linguistic units and their systemsCompleteness, self-reference, and contingency -- Ross KrekoskiUniversity Blue Quills -- 1.Introduction -- 2.Social action, unit acts, interaction -- 3.Systems and incompleteness -- 4.Some deviant utterances.5.Concluding remarks -- References -- Free NPs as units in Finnish -- Marja-Liisa HelasvuoUniversity of Turku -- 1.Introduction -- 2.Data -- 3.Morphosyntactic features of free NPs -- 4.Prosodic features of free NPs -- 5.Interactional functions of free NPs -- 6.Conclusions -- Acknowledgements -- References -- Referring expressions in categorizing activitiesRethinking the nature of linguistic units for the study of interaction -- Patricia Mayes and Hongyin TaoUniversity of Wisconsin, Milwaukee | University of California, Los Angeles -- 1.Introduction -- 2.Key concepts and approaches to categorizing -- 2.1Cognitive approaches to categorization -- 2.2Previous work focusing on categorizing as social action -- 2.3Rethinking categorizing as a socially-motivated activity -- 2.4Methodological tools used in MCA -- 3.Data and methods -- 4.Data analysis -- 4.1English data -- 4.2Mandarin Chinese data -- 5.Discussion -- 6.Conclusions -- Acknowledgements -- References -- Questioning the clause as a crosslinguistic unit in grammar and interaction -- Ritva Laury, Tsuyoshi Ono and Ryoko SuzukiUniversity of Helsinki | University of Alberta | Keio University -- 1.Introduction -- 2.Understandings of similar units in standard references in Finnish and Japanese -- 2.1Finnish -- 2.2Japanese -- 3.Clauses and predicates as units in interaction -- 3.1The clause as a unit in Finnish conversation -- 3.2The predicate as a unit in Japanese conversation -- 4.Summary and conclusions -- Acknowledgements -- References -- The predicate as a locus of grammar and interaction in colloquial Indonesian -- Michael C. EwingUniversity of Melbourne -- 1.Introduction -- 2.Predicate configurations in conversational Indonesian -- 2.1Verbal predicates -- 2.2Non-verbal predicates -- 2.3When there are no explicit arguments -- 3.Frequency and distribution of predicate configurations in conversation.4.Predicates in interaction -- 4.1Turn constructions and predicates -- 4.2Participant orientation and predicates -- 4.2.1Next turn onset -- 4.2.2Joint utterance completion -- 4.2.3Turn continuations -- 5.Conclusion -- Acknowledgements -- References -- Glosses -- Transcription conventions -- Index.The chapters in this volume focus on how we might understand the concept of 'unit' in human languages. It is an analytical notion that has been widely adopted by linguists of various theoretical and applied orientations but has recently been critically examined by both typologically oriented and interactional linguistics.Benjamins Current Topics Structural linguisticsTypology (Linguistics)Structural linguistics.Typology (Linguistics).410.181Ono Tsuyoshi1526021Laury Ritva946148Suzuki Ryoko990810MiAaPQMiAaPQMiAaPQBOOK9910794426403321Usage-based and typological approaches to linguistic units3767820UNINA01325nam0 22003251i 450 UON0052099820231211060821.63978-88-581-0730-020231211d2013 |0itac50 baitaIT|||| |||||L'ho uccisa perché l'amavo (falso!)Loredana Lipperini, Michela MurgiaRomaBariGLF Laterza2013XV, 80 p.18 cmDonazione prof.ssa Amalia SignorelliIT-UONSI F. Signorelli6 A258001UON004553652001 IdòlaFEMMINICIDIOItaliaUONC102169FIITRomaUONL000004ITBariUONL000072364.1520820945OMICIDIO. Il soggetto riferito alle donne. Italia22LipperiniLoredanaUONV289782478742MURGIAMichelaUONV293629606153Laterza & FigliUONV276725650ITSOL20240220RICASIBA - SISTEMA BIBLIOTECARIO DI ATENEOUONSIUON00520998SIBA - SISTEMA BIBLIOTECARIO DI ATENEOSI F. Signore6 A 258 SI 48416 5 Donazione prof.ssa Amalia SignorelliL'ho uccisa perché l'amavo (falso!)3905617UNIOR