05555nam 2200721 a 450 991101944920332120170809164628.09786610721788978128072178612807217829780470101025047010102497804701010180470101016(CKB)1000000000356651(EBL)281858(SSID)ssj0000196084(PQKBManifestationID)11168293(PQKBTitleCode)TC0000196084(PQKBWorkID)10143711(PQKB)10708701(MiAaPQ)EBC281858(OCoLC)172960911(CaSebORM)9780470074718(PPN)11673258X(OCoLC)855372585(OCoLC)ocn855372585(EXLCZ)99100000000035665120060627d2007 uy 0engur|n|---|||||txtccrMaking sense of data a practical guide to exploratory data analysis and data mining /Glenn J. Myatt1st editionHoboken, N.J. Wiley-Intersciencec20071 online resource (294 p.)Description based upon print version of record.9780470074718 047007471X Includes bibliographical references (p. 273-274) and index.Making Sense of Data; Contents; Preface; 1. Introduction; 1.1 Overview; 1.2 Problem definition; 1.3 Data preparation; 1.4 Implementation of the analysis; 1.5 Deployment of the results; 1.6 Book outline; 1.7 Summary; 1.8 Further reading; 2. Definition; 2.1 Overview; 2.2 Objectives; 2.3 Deliverables; 2.4 Roles and responsibilities; 2.5 Project plan; 2.6 Case study; 2.6.1 Overview; 2.6.2 Problem; 2.6.3 Deliverables; 2.6.4 Roles and responsibilities; 2.6.5 Current situation; 2.6.6 Timetable and budget; 2.6.7 Cost/benefit analysis; 2.7 Summary; 2.8 Further reading; 3. Preparation; 3.1 Overview3.2 Data sources3.3 Data understanding; 3.3.1 Data tables; 3.3.2 Continuous and discrete variables; 3.3.3 Scales of measurement; 3.3.4 Roles in analysis; 3.3.5 Frequency distribution; 3.4 Data preparation; 3.4.1 Overview; 3.4.2 Cleaning the data; 3.4.3 Removing variables; 3.4.4 Data transformations; 3.4.5 Segmentation; 3.5 Summary; 3.6 Exercises; 3.7 Further reading; 4. Tables and graphs; 4.1 Introduction; 4.2 Tables; 4.2.1 Data tables; 4.2.2 Contingency tables; 4.2.3 Summary tables; 4.3 Graphs; 4.3.1 Overview; 4.3.2 Frequency polygrams and histograms; 4.3.3 Scatterplots; 4.3.4 Box plots4.3.5 Multiple graphs4.4 Summary; 4.5 Exercises; 4.6 Further reading; 5. Statistics; 5.1 Overview; 5.2 Descriptive statistics; 5.2.1 Overview; 5.2.2 Central tendency; 5.2.3 Variation; 5.2.4 Shape; 5.2.5 Example; 5.3 Inferential statistics; 5.3.1 Overview; 5.3.2 Confidence intervals; 5.3.3 Hypothesis tests; 5.3.4 Chi-square; 5.3.5 One-way analysis of variance; 5.4 Comparative statistics; 5.4.1 Overview; 5.4.2 Visualizing relationships; 5.4.3 Correlation coefficient (r); 5.4.4 Correlation analysis for more than two variables; 5.5 Summary; 5.6 Exercises; 5.7 Further reading; 6. Grouping6.1 Introduction6.1.1 Overview; 6.1.2 Grouping by values or ranges; 6.1.3 Similarity measures; 6.1.4 Grouping approaches; 6.2 Clustering; 6.2.1 Overview; 6.2.2 Hierarchical agglomerative clustering; 6.2.3 K-means clustering; 6.3 Associative rules; 6.3.1 Overview; 6.3.2 Grouping by value combinations; 6.3.3 Extracting rules from groups; 6.3.4 Example; 6.4 Decision trees; 6.4.1 Overview; 6.4.2 Tree generation; 6.4.3 Splitting criteria; 6.4.4 Example; 6.5 Summary; 6.6 Exercises; 6.7 Further reading; 7. Prediction; 7.1 Introduction; 7.1.1 Overview; 7.1.2 Classification; 7.1.3 Regression7.1.4 Building a prediction model7.1.5 Applying a prediction model; 7.2 Simple regression models; 7.2.1 Overview; 7.2.2 Simple linear regression; 7.2.3 Simple nonlinear regression; 7.3 K-nearest neighbors; 7.3.1 Overview; 7.3.2 Learning; 7.3.3 Prediction; 7.4 Classification and regression trees; 7.4.1 Overview; 7.4.2 Predicting using decision trees; 7.4.3 Example; 7.5 Neural networks; 7.5.1 Overview; 7.5.2 Neural network layers; 7.5.3 Node calculations; 7.5.4 Neural network predictions; 7.5.5 Learning process; 7.5.6 Backpropagation; 7.5.7 Using neural networks; 7.5.8 Example7.6 Other methodsA practical, step-by-step approach to making sense out of dataMaking Sense of Data educates readers on the steps and issues that need to be considered in order to successfully complete a data analysis or data mining project. The author provides clear explanations that guide the reader to make timely and accurate decisions from data in almost every field of study. A step-by-step approach aids professionals in carefully analyzing data and implementing results, leading to the development of smarter business decisions. With a comprehensive collection of methods from both data analysis and A practical guide to exploratory data analysis and data mining.Data miningMathematical statisticsData mining.Mathematical statistics.006.312Myatt Glenn J.1969-695403MiAaPQMiAaPQMiAaPQBOOK9911019449203321Making sense of data1380257UNINA02549nam 22004693 450 991015553230332120241107102032.00-399-58492-7(CKB)3710000000975084(MiAaPQ)EBC6054461(Au-PeEL)EBL6054461(OCoLC)965707543(ODN)ODN0002996631(EXLCZ)99371000000097508420210901d2017 uy 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierNext to Never1st ed.New York Berkley2017 :Penguin Publishing Group,2017.©2017.1 online resource (153 pages)The Fall Away Title from eBook information screen..New York Times bestselling author Penelope Douglas introduces Quinn, younger sister to Jared, Madoc, and Jaxon, in this captivating novella in the Fall Away series. Quinn Caruthers has several problems: her father, Jason, and her three older brothers, Jared, Madoc, and Jaxon. Under the close watch of the men in her family, Quinn has found it nearly impossible to spread her wings—or even date—without them jumping in to hover. And when a family friend—several years older—from her childhood captures her heart, she knows they’re going to be a problem. Lucas Morrow is a man—experienced, sophisticated, and important. And knowing her brothers, he may as well be forbidden. But Lucas left town years ago and shows no signs of returning. Quinn knows she shouldn’t wait for him anymore.      Then a package turns up on her doorstep with no return address and its contents reveal family secrets that threaten to turn Quinn’s world upside down. She’s never asked about the tumultuous path of her parents’ romantic history, but she soon learns their happy marriage had a very rocky and passionate start.   As she begins to see things around her with new eyes, Quinn will have to make tough choices about whether she’ll keep waiting…or finally go after what she really wants.The Fall Away Romance fictionRomance fiction.813.6FIC027000FIC027020FIC044000bisacshDouglas Penelope1378615MiAaPQMiAaPQMiAaPQBOOK9910155532303321Next to Never3417336UNINA