Algebra in the Stone-Čech compactification [[electronic resource] ] : theory and applications / / Neil Hindman, Donna Strauss

• Record Nr.: UNINA9910791968403321
• Autore: Hindman Neil <1943->
• Pubbl/distr/stampa: Berlin ; ; Boston, : De Gruyter, 2012
• ISBN: 3-11-025835-8
• Edizione: [2nd rev. and extended ed.]
• Descrizione fisica: 1 online resource (609 p.)
• Collana: De Gruyter textbook
• Classificazione: SK 340
• Altri autori (Persone): StraussDona <1934->
• Disciplina: 514/.32
• Soggetti: Stone-Čech compactification; Topological semigroups
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Note generali: Description based upon print version of record.
• Nota di bibliografia: Includes bibliographical references and index.
• Nota di contenuto: pt. 1. Background development -- pt. 2. Algebra of [beta]S -- pt. 3. Combinatorial applications -- pt. 4. Connections with other structures.
• Sommario/riassunto: This is the second revised and extended edition of the successful book on the algebraic structure of the Stone-Čech compactification of a discrete semigroup and its combinatorial applications, primarily in the field known as Ramsey Theory. There has been very active research in the subject dealt with by the book in the 12 years which is now included in this edition. This book is a self-contained exposition of the theory of compact right semigroups for discrete semigroups and the algebraic properties of these objects. The methods applied in the book constitute a mosaic of infinite combinatorics, algebra, and topology. The reader will find numerous combinatorial applications of the theory, including the central sets theorem, partition regularity of matrices, multidimensional Ramsey theory, and many more.

Intelligent Fashion Forecasting Systems: Models and Applications / / edited by Tsan-Ming Choi, Chi-Leung Hui, Yong Yu

• Record Nr.: UNINA9910298535203321
• Pubbl/distr/stampa: Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2014
• ISBN: 3-642-39869-3
• Edizione: [1st ed. 2014.]
• Descrizione fisica: 1 online resource (199 p.)
• Disciplina: 003.2
• Soggetti: Information technology; Business—Data processing; Application software; Production management; IT in Business; Information Systems Applications (incl. Internet); Operations Management
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Note generali: Description based upon print version of record.
• Nota di bibliografia: Includes bibliographical references.
• Nota di contenuto: Part I: Introduction, review and exploratory studies -- 1.1 Introduction: Intelligent Fashion Forecasting -- 1.2 Sales forecasting in Apparel and Fashion Industry: a review -- Collaborative Planning Forecasting Replenishment Schemes in Apparel Supply Chain Systems: Cases and Research Opportunities -- Part II: Theoretical modeling research -- 2.1 Measuring Forecasting Accuracy: Problems and Recommendations (by the example of SKU-level judgmental adjustments) -- 2.2 Forecasting Demand for Fashion Goods: A Hierarchical Bayesian Approach -- Forecasting Fashion Store Reservations: Booking Horizon Forecasting with Dynamic Updating -- Part III: Intelligent fashion forecasting: applications and analysis -- 3.1 Fuzzy Forecast Combining for Apparel Demand Forecasting -- 3.2 Intelligent Fashion Colour Trend Forecasting Schemes: A Comparative Study -- 3.3 Neural Networks Based for Romanian Clothing Sector. .
• Sommario/riassunto: Forecasting is a crucial function for companies in the fashion industry, but for many real-life forecasting applications, the data patterns are ; notorious for being highly volatile and it is very difficult, if not impossible, to analytically learn about the underlying patterns. As a result, many traditional methods (such as pure statistical models) will fail to make a sound prediction. Over the past decade, advances in artificial intelligence and computing technologies have provided an alternative way of generating precise and accurate forecasting results for fashion businesses. Despite being an important and timely topic, there is currently an absence of a comprehensive reference source that provides up-to-date theoretical and applied research findings on the subject of intelligent fashion forecasting systems. This three-part handbook fulfills this need and covers materials ranging from introductory studies and technical reviews, theoretical modeling research, to intelligent fashion forecasting applications and analysis. This book is suitable for academic researchers, graduate students, senior undergraduate students and practitioners who are interested in the latest research on fashion forecasting.

Diagnostic Assessment of Learning Disabilities in Childhood : Bridging the Gap Between Research and Practice / / by Amber E. Brueggemann Taylor

• Record Nr.: UNINA9910298085203321
• Autore: Taylor Amber E. Brueggemann
• Pubbl/distr/stampa: New York, NY : , : Springer New York : , : Imprint : Springer, , 2014
• ISBN: 1-4939-0335-7
• Edizione: [1st ed. 2014.]
• Descrizione fisica: 1 online resource (260 p.)
• Collana: Contemporary Issues in Psychological Assessment, , 2625-7211
• Classificazione: CS 4000; DT 2000
• Disciplina: 371.9; 618.9285889
• Soggetti: Child psychology; School psychology; Education; Social work; Psychotherapy; Counseling; Child and School Psychology; Education, general; Social Work; Psychotherapy and Counseling
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Note generali: Description based upon print version of record.
• Nota di bibliografia: Includes bibliographical references and index.
• Nota di contenuto: 1. Introduction/History of Learning Disability Assessment -- 2. Aptitude-Achievement Discrepancy -- 3. Cognitive Processing -- 4. Response to Intervention -- 5. Low Achievement -- 6. Promising Practices -- 7. Comorbidity and Differential Diagnosis -- Appendix A. States’ Previous Discrepancy Models and Current Identification Models -- Appendix B. States' Response to Intervention Models -- Appendix C. Links to Useful Websites.
• Sommario/riassunto: Diagnosing learning disabilities (LD) in children has never been an easy task. The multiple approaches in use complicate the assessment process, raising the risk of young students getting the wrong services, or none at all. It is clear that more accurate diagnosis and classification methods are needed to advance the prevention and treatment of difficulties in reading and mathematics. Diagnostic Assessment of Learning Disabilities in Childhood takes important steps to cut through the confusion. This timely resource weighs the strengths and weaknesses of commonly used assessment methods including the aptitude-achievement discrepancy, cognitive processing, RTI, and low achievement approaches, and introduces the author's academic impairment model as a promising alternative. A chapter on comorbid disorders in students with LD guides readers in the fine points of differential diagnosis. And to make the coverage especially practical, the book's features link the theoretical to the real-world practice of LD assessment, among them: Overviews of LD identification and definitions. Analysis of widely used diagnostic approaches with strengths and weaknesses. Examples of assessment protocols and report writing. Case examples illustrating diagnostic issues. Q&A sections with leading experts in the field. Useful summaries, appendices, and resource links. Diagnostic Assessment of Learning Disabilities in Childhood is an invaluable reference for school and clinical child psychologists, special education and allied educational professionals, and researchers and graduate students in school, educational, and clinical child psychology who are dedicated to higher measurement standards and greater opportunities for children’s academic success.