Download or read book Big Al s Super Prospecting written by Tom Schreiter and published by . This book was released on 1994 with total page 132 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Big Al s how to Create a Recruiting Explosion written by Tom Schreiter and published by . This book was released on 1986 with total page 132 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Data Mining and Big Data written by Ying Tan and published by Springer Nature. This book was released on 2021-10-29 with total page 519 pages. Available in PDF, EPUB and Kindle. Book excerpt: This two-volume set, CCIS 1453 and CCIS 1454, constitutes refereed proceedings of the 6th International Conference on Data Mining and Big Data, DMBD 2021, held in Guangzhou, China, in October 2021. The 57 full papers and 28 short papers presented in this two-volume set were carefully reviewed and selected from 258 submissions. The papers present the latest research on advantages in theories, technologies, and applications in data mining and big data. The volume covers many aspects of data mining and big data as well as intelligent computing methods applied to all fields of computer science, machine learning, data mining and knowledge discovery, data science, etc.
Download or read book Data Mining and Knowledge Discovery for Big Data written by Wesley W. Chu and published by Springer Science & Business Media. This book was released on 2013-09-24 with total page 314 pages. Available in PDF, EPUB and Kindle. Book excerpt: The field of data mining has made significant and far-reaching advances over the past three decades. Because of its potential power for solving complex problems, data mining has been successfully applied to diverse areas such as business, engineering, social media, and biological science. Many of these applications search for patterns in complex structural information. In biomedicine for example, modeling complex biological systems requires linking knowledge across many levels of science, from genes to disease. Further, the data characteristics of the problems have also grown from static to dynamic and spatiotemporal, complete to incomplete, and centralized to distributed, and grow in their scope and size (this is known as big data). The effective integration of big data for decision-making also requires privacy preservation. The contributions to this monograph summarize the advances of data mining in the respective fields. This volume consists of nine chapters that address subjects ranging from mining data from opinion, spatiotemporal databases, discriminative subgraph patterns, path knowledge discovery, social media, and privacy issues to the subject of computation reduction via binary matrix factorization.
Download or read book Big Al s Turbo MLM written by Tom Schreiter and published by . This book was released on 1988 with total page 132 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Microeconomics Case Studies and Applications written by Jeff Borland and published by Cengage AU. This book was released on 2020-06-22 with total page 352 pages. Available in PDF, EPUB and Kindle. Book excerpt: Microeconomics: Case Studies and Applications contains case studies that explore core microeconomics concepts by focusing on current events in economics and providing a theory refresher for each section and questions. Designed to be a companion text to larger microeconomics texts, this resource offers a useful, time-saving alternative to sourcing online articles and journals. As a first-year text it teaches best-practice use of case studies and acts as a stepping stone for students who will source and use articles as they progress through their course. Each case study presents a different application of a core concept or theory. As well as the main text, which presents the application of the core concept, each case study contains a range of extra material. A ‘Theory refresher’ section provides a quick way for students to revise a key concept or theory that is important for understanding the application in that case study.
Download or read book Bio inspired Algorithms for Data Streaming and Visualization Big Data Management and Fog Computing written by Simon James Fong and published by Springer Nature. This book was released on 2020-08-25 with total page 228 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book aims to provide some insights into recently developed bio-inspired algorithms within recent emerging trends of fog computing, sentiment analysis, and data streaming as well as to provide a more comprehensive approach to the big data management from pre-processing to analytics to visualization phases. The subject area of this book is within the realm of computer science, notably algorithms (meta-heuristic and, more particularly, bio-inspired algorithms). Although application domains of these new algorithms may be mentioned, the scope of this book is not on the application of algorithms to specific or general domains but to provide an update on recent research trends for bio-inspired algorithms within a specific application domain or emerging area. These areas include data streaming, fog computing, and phases of big data management. One of the reasons for writing this book is that the bio-inspired approach does not receive much attention but shows considerable promise and diversity in terms of approach of many issues in big data and streaming. Some novel approaches of this book are the use of these algorithms to all phases of data management (not just a particular phase such as data mining or business intelligence as many books focus on); effective demonstration of the effectiveness of a selected algorithm within a chapter against comparative algorithms using the experimental method. Another novel approach is a brief overview and evaluation of traditional algorithms, both sequential and parallel, for use in data mining, in order to provide an overview of existing algorithms in use. This overview complements a further chapter on bio-inspired algorithms for data mining to enable readers to make a more suitable choice of algorithm for data mining within a particular context. In all chapters, references for further reading are provided, and in selected chapters, the author also include ideas for future research.
Download or read book Handbook of Big Data Technologies written by Albert Y. Zomaya and published by Springer. This book was released on 2017-02-25 with total page 895 pages. Available in PDF, EPUB and Kindle. Book excerpt: This handbook offers comprehensive coverage of recent advancements in Big Data technologies and related paradigms. Chapters are authored by international leading experts in the field, and have been reviewed and revised for maximum reader value. The volume consists of twenty-five chapters organized into four main parts. Part one covers the fundamental concepts of Big Data technologies including data curation mechanisms, data models, storage models, programming models and programming platforms. It also dives into the details of implementing Big SQL query engines and big stream processing systems. Part Two focuses on the semantic aspects of Big Data management including data integration and exploratory ad hoc analysis in addition to structured querying and pattern matching techniques. Part Three presents a comprehensive overview of large scale graph processing. It covers the most recent research in large scale graph processing platforms, introducing several scalable graph querying and mining mechanisms in domains such as social networks. Part Four details novel applications that have been made possible by the rapid emergence of Big Data technologies such as Internet-of-Things (IOT), Cognitive Computing and SCADA Systems. All parts of the book discuss open research problems, including potential opportunities, that have arisen from the rapid progress of Big Data technologies and the associated increasing requirements of application domains. Designed for researchers, IT professionals and graduate students, this book is a timely contribution to the growing Big Data field. Big Data has been recognized as one of leading emerging technologies that will have a major contribution and impact on the various fields of science and varies aspect of the human society over the coming decades. Therefore, the content in this book will be an essential tool to help readers understand the development and future of the field.
Download or read book Mining and Engineering Record written by and published by . This book was released on 1918 with total page 1054 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book British Columbia Mining and Engineering Record written by and published by . This book was released on 1918 with total page 1086 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Social Big Data Mining written by Hiroshi Ishikawa and published by CRC Press. This book was released on 2015-03-25 with total page 264 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on the basic concepts and the related technologies of data mining for social medial. Topics include: big data and social data, data mining for making a hypothesis, multivariate analysis for verifying the hypothesis, web mining and media mining, natural language processing, social big data applications, and scalability. It explains
Download or read book Mining American written by and published by . This book was released on 1908 with total page 588 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Distributed Computing and Artificial Intelligence 16th International Conference written by Francisco Herrera and published by Springer. This book was released on 2019-06-21 with total page 264 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book features the outcomes of the 16th International Conference on Distributed Computing and Artificial Intelligence 2019 (DCAI 2019), which is a forum to present applications of innovative techniques for studying and solving complex problems in artificial intelligence and computing. The exchange of ideas between scientists and technicians from both the academic and industrial sectors is essential to facilitate the development of systems that can meet the ever-increasing demands of today’s society. This book brings together lessons learned, current work and promising future trends associated with distributed computing, artificial intelligence and their application to provide efficient solutions to real-world problems. The book includes 29 high-quality and diverse contributions in established and emerging areas of research presented at the symposium organized by the Osaka Institute of Technology, Hiroshima University, University of Granada and University of Salamanca, which was held in Ávila, Spain, from 26th–28th June 2019
Download or read book Mining Reporter written by and published by . This book was released on 1907 with total page 652 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Mining Science written by and published by . This book was released on 1917 with total page 536 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Big Data Mining and Complexity written by Brian C. Castellani and published by SAGE. This book was released on 2022-03-01 with total page 144 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book offers a much needed critical introduction to data mining and ‘big data’. Supported by multiple case studies and examples, the authors provide: Digestible overviews of key terms and concepts relevant to using social media data in quantitative research. A critical review of data mining and ‘big data’ from a complexity science perspective, including its future potential and limitations A practical exploration of the challenges of putting together and managing a ‘big data’ database An evaluation of the core mathematical and conceptual frameworks, grounded in a case-based computational modeling perspective, which form the foundations of all data mining techniques Part of The SAGE Quantitative Research Kit, this book will give you the know-how and confidence needed to succeed on your quantitative research journey.
Download or read book 26 Instant Marketing Ideas to Build Your Network Marketing Business written by Tom “Big Al” Schreiter and published by Fortune Network Publishing Inc.. This book was released on 2019-12-06 with total page 180 pages. Available in PDF, EPUB and Kindle. Book excerpt: Are you looking for prospects for your MLM, network marketing, or any business? Would you like a presentation that rises way above the competition? Want to know what really motivates prospects to act? These marketing strategies and fascinating case studies and stories are taken from Tom "Big Al" Schreiter's 40+ years experience in network marketing. Learn: * Easy, free, and inexpensive ways to get prospects immediately. * Powerful sound bites and micro phrases that compel prospects to act now. * Seven magic words that build your business, and how to use them. * Where and how to get the best prospects to come to you. * How to keep the undivided attention of prospects so you can tell your story. * Exactly how to add profits while you are prospecting. Why not make a profit when you advertise? * How to see unique ways to target the best prospects and customers. * How to get the best prospects to raise their hand and beg to do business with you. Instead of looking for prospects, spending money, and ending up with frustration and timid results, why not use these rejection-free methods to get easy presentations quickly? You will love the word-for-word exact phrases and the step-by-step easy-to-follow descriptions of what to do. Interesting stand-alone chapters that are ready to implement now. Plenty of ideas to get your creative mind thinking about your business. The greatest networkers in the world use great marketing to rise above the masses of frustrated marketers with no one to talk to. Your MLM and network marketing business depends on new prospects and a great presentation. The section on the weird reasons people are motivated will bring a smile to your face, and of course, more money in your bonus check. Network marketing is all about dealing with people. Use these techniques to stand above the competition and bring those prospects to you. Order your copy now!
