This book constitutes the refereed conference proceedings of the 5th International Conference on Big Data Analytics, BDA 2017, held in Hyderabad, India, in December 2017. The 21 revised full papers were carefully reviewed and selected from 80 submissions and cover topics on big data analytics, information and knowledge management, mining of massive datasets, computational modeling, data mining and analysis.
Sie möchten endlich wissen, was es mit Predictive Analytics auf sich hat und ob es vielleicht mathematische Verfahren gibt, die Ihnen die Prognose zukünftiger Entwicklungen erleichtern? Dieses Buch versetzt Sie mit den passenden Werkzeugen schnell in die Lage, Daten zu sammeln und zu analysieren und dann Vorhersagen zu machen. Die Autoren werden Sie nicht mit höherer Mathematik behelligen, sondern stattdessen anhand von zahlreichen Beispielen deutlich machen, welche Algorithmen wann zum Ziel führen und wie man die richtigen Modelle für die Zukunft wählt. Auch vermeintliche Randthemen werden angesprochen wie ´´Wie erkläre und präsentiere ich die Erkenntnisse den Kollegen?´´, ´´Was sind realistische Ziele?´´ und ´´Was kann ich mir finanziell leisten?´´
Erscheinungsdatum: 26.10.2017Medium: TaschenbuchEinband: Kartoniert / BroschiertTitel: Big Data AnalyticsTitelzusatz: Proceedings of CSI 2015Redaktion: Aggarwal, V. B. // Bhatnagar, Vasudha // Mishra, Durgesh KumarVerlag: Springer-Verlag GmbH // Spr
Erscheinungsdatum: 15.07.2017Medium: TaschenbuchEinband: Kartoniert / BroschiertTitel: Data AnalyticsTitelzusatz: 31st British International Conference on Databases, Bicod 2017, London, UK, July 10-12, 2017, ProceedingsRedaktion: Calì, Andrea // Wood
Erscheinungsdatum: 01/2016Medium: TaschenbuchEinband: Kartoniert / BroschiertTitel: Big Data AnalyticsTitelzusatz: 4th International Conference, BDA 2015, Hyderabad, India, December 15-18, 2015, ProceedingsRedaktion: Kumar, Naveen // Bhatnagar, Vasud
Erscheinungsdatum: 13.11.2013Medium: TaschenbuchEinband: Kartoniert / BroschiertTitel: Big Data AnalyticsTitelzusatz: Second International Conference, BDA 2013, Mysore, India, December 16-18, 2013, ProceedingsAuflage: 2013Redaktion: Bhatnagar, Vasud
This book constitutes the thoroughly refereed post-conference proceedings of the 8th TPC Technology Conference, on Performance Evaluation and Benchmarking, TPCTC 2017, held in conjunction with the 43rd International Conference on Very Large Databases (VLDB 2017) in August/September 2017. The 12 papers presented were carefully reviewed and selected from numerous submissions. The TPC remains committed to developing new benchmark standards to keep pace with these rapid changes in technology.
Discover relevant questions-and detailed answers-to help you prepare for job interviews and break into the field of analytics. This book contains more than 200 questions based on consultations with hiring managers and technical professionals already working in analytics. Interview Questions in Business Analytics: How to Ace Interviews and Get the Job You Want fills a gap in information on business analytics for job seekers. Bhasker Gupta, the founder and editor of Analytics India Magazine , has come up with more than 300 questions job applicants are likely to face in an interview. Covering data preparation, statistics, analytics implementation, as well as other crucial topics favored by interviewers, this book: Provides 300+ interview questions often asked by recruiters and hiring managers in global corporations Offers short and to-the-point answers to the depth required, while looking at the problem from all angles Provides a full range of interview questions for jobs ranging from junior analytics to senior data scientists and managers Offers analytics professionals a quick reference on topics in analytics Using a question-and-answer format from start to finish, Interview Questions in Business Analytics: How to Ace Interviews and Get the Job You Want will help you grasp concepts sooner and with deep clarity. The book therefore also serves as a primer on analytics and covers issues relating to business implementation. You will learn about not just the how and what of analytics, but also the why and when. This book will thus ensure that you are well prepared for interviews-putting your dream job well within reach. Business analytics is currently one of the hottest and trendiest areas for technical professionals. With the rise of the profession, there is significant job growth. Even so, its not easy to get a job in the field, because you need knowledge of subjects such as statistics, databases, and IT services. Candidates must also possess keen business acumen. Whats more, employers cast a cold critical eye on all applicants, making the task of getting a job even more difficult. What Youll Learn The 300 questions in this book cover such topics as: • The different types of data used in analytics • How analytics are put to use in different industries • The process of hypothesis testing • Predictive vs. descriptive analytics • Correlation, regression, segmentation and advanced statistics • Predictive modeling Who This Book Is For Those aspiring to jobs in business analytics, including recent graduates and technical professionals looking for a new or better job. Job interviewers will also find the book helpful in preparing interview questions. Bhasker Gupta is a seasoned analytics professional with around a decade experience in providing analytics consulting to the financial and retail industry. He is the founder and editor of the hugely popular online analytics publication Analytics India Magazine (www.analyticsindiamag.com). Considered a thought leader in the area of analytics, Bhasker has deep roots in the whole analytics ecosystem.
Learn methods of data analysis and their application to real-world data sets This updated second edition serves as an introduction to data mining methods and models, including association rules, clustering, neural networks, logistic regression, and multivariate analysis. The authors apply a unified “white box” approach to data mining methods and models. This approach is designed to walk readers through the operations and nuances of the various methods, using small data sets, so readers can gain an insight into the inner workings of the method under review. Chapters provide readers with hands-on analysis problems, representing an opportunity for readers to apply their newly-acquired data mining expertise to solving real problems using large, real-world data sets. Data Mining and Predictive Analytics, Second Edition : Offers comprehensive coverage of association rules, clustering, neural networks, logistic regression, multivariate analysis, and R statistical programming language Features over 750 chapter exercises, allowing readers to assess their understanding of the new material Provides a detailed case study that brings together the lessons learned in the book Includes access to the companion website, www.dataminingconsultant, with exclusive password-protected instructor content Data Mining and Predictive Analytics, Second Edition will appeal to computer science and statistic students, as well as students in MBA programs, and chief executives. Daniel T. Larose is Professor of Mathematical Sciences and Director of the Data Mining programs at Central Connecticut State University. He has published several books, including Data Mining the Web: Uncovering Patterns in Web Content, Structure, and Usage (Wiley, 2007) and Discovering Knowledge in Data: An Introduction to Data Mining (Wiley, 2005). In addition to his scholarly work, Dr. Larose is a consultant in data mining and statistical analysis working with many high profile clients, including Microsoft, Forbes Magazine, the CIT Group, KPMG International, Computer Associates, and Deloitte, Inc. Chantal D. Larose is a Ph.D. candidate in Statistics at the University of Connecticut. Her research focuses on the imputation of missing data and model-based clustering. She has taught undergraduate statistics since 2011, and is a statistical consultant for DataMiningConsultant.com, LLC.
Erscheinungsdatum: 04/2013Medium: TaschenbuchEinband: Kartoniert / BroschiertTitel: Lean AnalyticsTitelzusatz: Use Data to Build a Better Startup FasterAutor: Croll, Alistair // Yoskovitz, BenjaminVerlag: O´Reilly UK Ltd. // O´Reilly Media, Inc.Spr