April 14, 2021

Download Ebook Free We Are Market Basket

We Are Market Basket

We Are Market Basket
Author : Daniel Korschun,Grant Welker
Publisher : AMACOM
Release Date : 2015-08-15
Category : Business & Economics
Total pages :256
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Winner of the 800-CEO-READ award for best general business book of the year! Forbes’s 15 Best Business Books of 2015 What if a company were so treasured and trusted that people literally took to the streets—by the thousands—to save it? That company is Market Basket, a popular New England supermarket chain. After long-time CEO Arthur T. Demoulas was ousted by his cousin Arthur S. Demoulas, the company's managers and rank-and-file workers struck back. Risking their own livelihoods to restore the job of their beloved boss they walked out, but they didn't walk far. At huge protest rallies, they were joined by loyal customers—leaving stores empty. Suppliers and vendors stopped deliveries—rendering shelves bare. Politicians were forced to take sides. The national media and experts were stunned by the unprecedented defense of an executive. All openly challenged the Market Basket board of directors to make things right. And, in the end, they prevailed. With its arresting firsthand accounts from the streets and executive suites, We Are Market Basket is as inspiring as it is instructive. What is it about Market Basket and its leader that provokes such ferocious loyalty? How does a company spread across three states maintain a culture that embraces everyone—from cashier to customer—as family? Can a company really become an industry leader by prioritizing stakeholders over shareholders? Set against a backdrop of bad blood and corporate greed, We Are Market Basket is, above all, a page-turner that chronicles the epic rise, fall, and redemption of this iconic and uniquely American company. Note: There are links to media content within the text of this EBook which may not work on all reading devices.

Database Marketing

Database Marketing
Author : Robert C. Blattberg,Byung-Do Kim,Scott A. Neslin
Publisher : Springer Science & Business Media
Release Date : 2010-02-26
Category : Business & Economics
Total pages :872
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Database marketing is at the crossroads of technology, business strategy, and customer relationship management. Enabled by sophisticated information and communication systems, today’s organizations have the capacity to analyze customer data to inform and enhance every facet of the enterprise—from branding and promotion campaigns to supply chain management to employee training to new product development. Based on decades of collective research, teaching, and application in the field, the authors present the most comprehensive treatment to date of database marketing, integrating theory and practice. Presenting rigorous models, methodologies, and techniques (including data collection, field testing, and predictive modeling), and illustrating them through dozens of examples, the authors cover the full spectrum of principles and topics related to database marketing. "This is an excellent in-depth overview of both well-known and very recent topics in customer management models. It is an absolute must for marketers who want to enrich their knowledge on customer analytics." (Peter C. Verhoef, Professor of Marketing, Faculty of Economics and Business, University of Groningen) "A marvelous combination of relevance and sophisticated yet understandable analytical material. It should be a standard reference in the area for many years." (Don Lehmann, George E. Warren Professor of Business, Columbia Business School) "The title tells a lot about the book's approach—though the cover reads, "database," the content is mostly about customers and that's where the real-world action is. Most enjoyable is the comprehensive story – in case after case – which clearly explains what the analysis and concepts really mean. This is an essential read for those interested in database marketing, customer relationship management and customer optimization." (Richard Hochhauser, President and CEO, Harte-Hanks, Inc.) "In this tour de force of careful scholarship, the authors canvass the ever expanding literature on database marketing. This book will become an invaluable reference or text for anyone practicing, researching, teaching or studying the subject." (Edward C. Malthouse, Theodore R. and Annie Laurie Sills Associate Professor of Integrated Marketing Communications, Northwestern University)

Data Warehouse Designs

Data Warehouse Designs
Author : Fon Silvers
Publisher : CRC Press
Release Date : 2011-12-14
Category : Computers
Total pages :296
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Market Basket Analysis (MBA) provides the ability to continually monitor the affinities of a business and can help an organization achieve a key competitive advantage. Time Variant data enables data warehouses to directly associate events in the past with the participants in each individual event. In the past however, the use of these powerful tools in tandem led to performance degradation and resulted in unactionable and even damaging information. Data Warehouse Designs: Achieving ROI with Market Basket Analysis and Time Variance presents an innovative, soup-to-nuts approach that successfully combines what was previously incompatible, without degradation, and uses the relational architecture already in place. Built around two main chapters, Market Basket Solution Definition and Time Variant Solution Definition, it provides a tangible how-to design that can be used to facilitate MBA within the context of a data warehouse. Presents a solution for creating home-grown MBA data marts Includes database design solutions in the context of Oracle, DB2, SQL Server, and Teradata relational database management systems (RDBMS) Explains how to extract, transform, and load data used in MBA and Time Variant solutions The book uses standard RDBMS platforms, proven database structures, standard SQL and hardware, and software and practices already accepted and used in the data warehousing community to fill the gaps left by most conceptual discussions of MBA. It employs a form and language intended for a data warehousing audience to explain the practicality of how data is delivered, stored, and viewed. Offering a comprehensive explanation of the applications that provide, store, and use MBA data, Data Warehouse Designs provides you with the language and concepts needed to require and receive information that is relevant and actionable.

Illegit

Illegit
Author : George A. DeMoulas
Publisher : AuthorHouse
Release Date : 2014-08-14
Category : Biography & Autobiography
Total pages :108
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Finding My Identity My story of how DNA proved my legacy My life story - The journey that led me to prove my legacy through DNA analysis. Everyone has a story. It takes courage to tell it. By writing this book I hope I can help one of many survive what I lived by telling my own experiences. I hope to help others realize they do have an identity and they need to be responsible for it.

Computer Aided Systems Theory -- EUROCAST 2011

Computer Aided Systems Theory -- EUROCAST 2011
Author : Roberto Moreno Díaz,Franz Pichler,Alexis Quesada Arencibia
Publisher : Springer
Release Date : 2012-02-02
Category : Computers
Total pages :637
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The two-volume proceedings, LNCS 6927 and LNCS 6928, constitute the papers presented at the 13th International Conference on Computer Aided Systems Theory, EUROCAST 2011, held in February 2011 in Las Palmas de Gran Canaria, Spain. The total of 160 papers presented were carefully reviewed and selected for inclusion in the books. The contributions are organized in topical sections on concepts and formal tools; software applications; computation and simulation in modelling biological systems; intelligent information processing; heurist problem solving; computer aided systems optimization; model-based system design, simulation, and verification; computer vision and image processing; modelling and control of mechatronic systems; biomimetic software systems; computer-based methods for clinical and academic medicine; modeling and design of complex digital systems; mobile and autonomous transportation systems; traffic behaviour, modelling and optimization; mobile computing platforms and technologies; and engineering systems applications.

Descriptive Data Mining

Descriptive Data Mining
Author : David L. Olson,Georg Lauhoff
Publisher : Springer
Release Date : 2019-05-06
Category : Business & Economics
Total pages :130
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This book provides an overview of data mining methods demonstrated by software. Knowledge management involves application of human knowledge (epistemology) with the technological advances of our current society (computer systems) and big data, both in terms of collecting data and in analyzing it. We see three types of analytic tools. Descriptive analytics focus on reports of what has happened. Predictive analytics extend statistical and/or artificial intelligence to provide forecasting capability. It also includes classification modeling. Diagnostic analytics can apply analysis to sensor input to direct control systems automatically. Prescriptive analytics applies quantitative models to optimize systems, or at least to identify improved systems. Data mining includes descriptive and predictive modeling. Operations research includes all three. This book focuses on descriptive analytics. The book seeks to provide simple explanations and demonstration of some descriptive tools. This second edition provides more examples of big data impact, updates the content on visualization, clarifies some points, and expands coverage of association rules and cluster analysis. Chapter 1 gives an overview in the context of knowledge management. Chapter 2 discusses some basic software support to data visualization. Chapter 3 covers fundamentals of market basket analysis, and Chapter 4 provides demonstration of RFM modeling, a basic marketing data mining tool. Chapter 5 demonstrates association rule mining. Chapter 6 is a more in-depth coverage of cluster analysis. Chapter 7 discusses link analysis. Models are demonstrated using business related data. The style of the book is intended to be descriptive, seeking to explain how methods work, with some citations, but without deep scholarly reference. The data sets and software are all selected for widespread availability and access by any reader with computer links.

Ring On Deli

Ring On Deli
Author : Eric Giroux
Publisher : Unknown
Release Date : 2020-08-11
Category : Fiction
Total pages :290
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Every day's more or less the same at Bounty Bag's deli, and that's just how Ray Markham likes it. But when Ray's store erupts in protest, he's forced to take a side. RING ON DELI: A novel about supermarkets and democracy.

Mediating the Global

Mediating the Global
Author : Heather Hindman
Publisher : Stanford University Press
Release Date : 2013-09-18
Category : Social Science
Total pages :288
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Transnational business people, international aid workers, and diplomats are all actors on the international stage working for organizations and groups often scrutinized by the public eye. But the very lives of these global middlemen and women are relatively unstudied. Mediating the Global takes up the challenge, uncovering the day-to-day experiences of elite foreign workers and their families living in Nepal, and the policies and practices that determine their daily lives. In this book, Heather Hindman calls for a consideration of the complex role that global middlemen and women play, not merely in implementing policies, but as objects of policy. Examining the lives of expatriate professionals working in Kathmandu, Nepal and the families that accompany them, Hindman unveils intimate stories of the everyday life of global mediators. Mediating the Global focuses on expatriate employees and families who are affiliated with international development bodies, multinational corporations, and the foreign service of various countries. The author investigates the life of expatriates while they visit recreational clubs and international schools and also examines how the practices of international human resources management, cross-cultural communication, and promotion of flexible careers are transforming the world of elite overseas workers.

From Data and Information Analysis to Knowledge Engineering

From Data and Information Analysis to Knowledge Engineering
Author : Myra Spiliopoulou,Rudolf Kruse,Christian Borgelt,Andreas Nürnberger,Wolfgang A. Gaul
Publisher : Springer Science & Business Media
Release Date : 2006-04-20
Category : Language Arts & Disciplines
Total pages :761
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This volume collects revised versions of papers presented at the 29th Annual Conference of the Gesellschaft für Klassifikation, the German Classification Society, held at the Otto-von-Guericke-University of Magdeburg, Germany, in March 2005. In addition to traditional subjects like Classification, Clustering, and Data Analysis, converage extends to a wide range of topics relating to Computer Science: Text Mining, Web Mining, Fuzzy Data Analysis, IT Security, Adaptivity and Personalization, and Visualization.

Large Scale Machine Learning with Spark

Large Scale Machine Learning with Spark
Author : Md. Rezaul Karim,Md. Mahedi Kaysar
Publisher : Packt Publishing Ltd
Release Date : 2016-10-27
Category : Computers
Total pages :476
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Discover everything you need to build robust machine learning applications with Spark 2.0 About This Book Get the most up-to-date book on the market that focuses on design, engineering, and scalable solutions in machine learning with Spark 2.0.0 Use Spark's machine learning library in a big data environment You will learn how to develop high-value applications at scale with ease and a develop a personalized design Who This Book Is For This book is for data science engineers and scientists who work with large and complex data sets. You should be familiar with the basics of machine learning concepts, statistics, and computational mathematics. Knowledge of Scala and Java is advisable. What You Will Learn Get solid theoretical understandings of ML algorithms Configure Spark on cluster and cloud infrastructure to develop applications using Scala, Java, Python, and R Scale up ML applications on large cluster or cloud infrastructures Use Spark ML and MLlib to develop ML pipelines with recommendation system, classification, regression, clustering, sentiment analysis, and dimensionality reduction Handle large texts for developing ML applications with strong focus on feature engineering Use Spark Streaming to develop ML applications for real-time streaming Tune ML models with cross-validation, hyperparameters tuning and train split Enhance ML models to make them adaptable for new data in dynamic and incremental environments In Detail Data processing, implementing related algorithms, tuning, scaling up and finally deploying are some crucial steps in the process of optimising any application. Spark is capable of handling large-scale batch and streaming data to figure out when to cache data in memory and processing them up to 100 times faster than Hadoop-based MapReduce. This means predictive analytics can be applied to streaming and batch to develop complete machine learning (ML) applications a lot quicker, making Spark an ideal candidate for large data-intensive applications. This book focuses on design engineering and scalable solutions using ML with Spark. First, you will learn how to install Spark with all new features from the latest Spark 2.0 release. Moving on, you'll explore important concepts such as advanced feature engineering with RDD and Datasets. After studying developing and deploying applications, you will see how to use external libraries with Spark. In summary, you will be able to develop complete and personalised ML applications from data collections,model building, tuning, and scaling up to deploying on a cluster or the cloud. Style and approach This book takes a practical approach where all the topics explained are demonstrated with the help of real-world use cases.

Quality, IT and Business Operations

Quality, IT and Business Operations
Author : P.K. Kapur,Uday Kumar,Ajit Kumar Verma
Publisher : Springer
Release Date : 2017-10-01
Category : Business & Economics
Total pages :465
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This book discusses action-oriented, concise and easy-to-communicate goals and challenges related to quality, reliability, infocomm technology and business operations. It brings together groundbreaking research in the area of software reliability, e-maintenance and big data analytics, highlighting the importance of maintaining the current growth in information technology (IT) adoption in businesses, while at the same time proposing process innovations to ensure sustainable development in the immediate future. In its thirty-seven chapters, it covers various areas of e-maintenance solutions, software architectures, patching problems in software reliability, preventive maintenance, industrial big data and reliability applications in electric power systems. The book reviews the ways in which countries currently attempt to resolve the conflicts and opportunities related to quality, reliability, IT and business operations, and proposes that internationally coordinated research plans are essential for effective and sustainable development, with research being most effective when it uses evidence-based decision-making frameworks resulting in clear management objectives, and is organized within adaptive management frameworks. Written by leading experts, the book is of interest to researchers, academicians, practitioners and policy makers alike who are working towards the common goal of making business operations more effective and sustainable.

Proceedings of the First International Conference on Advanced Data and Information Engineering (DaEng-2013)

Proceedings of the First International Conference on Advanced Data and Information Engineering (DaEng-2013)
Author : Tutut Herawan,Mustafa Mat Deris,Jemal Abawajy
Publisher : Springer Science & Business Media
Release Date : 2013-12-14
Category : Computers
Total pages :730
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The proceeding is a collection of research papers presented at the International Conference on Data Engineering 2013 (DaEng-2013), a conference dedicated to address the challenges in the areas of database, information retrieval, data mining and knowledge management, thereby presenting a consolidated view to the interested researchers in the aforesaid fields. The goal of this conference was to bring together researchers and practitioners from academia and industry to focus on advanced on data engineering concepts and establishing new collaborations in these areas. The topics of interest are as follows but are not limited to: • Database theory • Data management • Data mining and warehousing • Data privacy & security • Information retrieval, integration and visualization • Information system • Knowledge discovery in databases • Mobile, grid and cloud computing • Knowledge-based • Knowledge management • Web data, services and intelligence

Basket Case

Basket Case
Author : Carl Hiaasen
Publisher : Vintage Books
Release Date : 2013
Category : Fiction
Total pages :317
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Once a hotshot investigative reporter, middle-aged Jack Tagger now bangs out obituaries for a South Florida daily. When Jimmy Stoma, the infamous front man of Jimmy and the Slut Puppies, dies in a diving "accident, " Jack uses clues from the singer's own music to unravel the mystery and resurrect his career in the process.

Artificial Intelligence Applications and Innovations

Artificial Intelligence Applications and Innovations
Author : Lazaros S. Iliadis,Ilias Maglogiannis,Harris Papadopoulos
Publisher : Springer Science & Business Media
Release Date : 2011-09-08
Category : Computers
Total pages :496
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The two-volume set IFIP AICT 363 and 364 constitutes the refereed proceedings of the 12th International Conference on Engineering Applications of Neural Networks, EANN 2011, and the 7th IFIP WG 12.5 International Conference, AIAI 2011, held jointly in Corfu, Greece, in September 2011. The 52 revised full papers and 28 revised short papers presented together with 31 workshop papers were carefully reviewed and selected from 150 submissions. The second volume includes the papers that were accepted for presentation at the AIAI 2011 conference. They are organized in topical sections on computer vision and robotics, classification/pattern recognition, financial and management applications of AI, fuzzy systems, learning and novel algorithms, recurrent and radial basis function ANN, machine learning, generic algorithms, data mining, reinforcement learning, Web applications of ANN, medical applications of ANN and ethics of AI, and environmental and earth applications of AI. The volume also contains the accepted papers from the First Workshop on Computational Intelligence in Software Engineering (CISE 2011) and the Workshop on Artificial Intelligence Applications in Biomedicine (AIAB 2011).

Advanced Data Mining and Applications

Advanced Data Mining and Applications
Author : Changjie Tang,Charles X. Ling,Xiaofang Zhou,Nick Cercone,Xue Li
Publisher : Springer
Release Date : 2008-09-30
Category : Computers
Total pages :759
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The Fourth International Conference on Advanced Data Mining and Applications (ADMA 2008) will be held in Chengdu, China, followed by the last three successful ADMA conferences (2005 in Wu Han, 2006 in Xi'an, and 2007 Harbin). Our major goal of ADMA is to bring together the experts on data mining in the world, and to provide a leading international forum for the dissemination of original research results in data mining, including applications, algorithms, software and systems, and different disciplines with potential applications of data mining. This goal has been partially achieved in a very short time despite the young age of the conference, thanks to the rigorous review process insisted upon, the outstanding list of internationally renowned keynote speakers and the excellent program each year. ADMA is ranked higher than, or very similar to, other data mining conferences (such as PAKDD, PKDD, and SDM) in early 2008 by an independent source: cs-conference-ranking. org. This year we had the pleasure and honor to host illustrious keynote speakers. Our distinguished keynote speakers are Prof. Qiang Yang and Prof. Jiming Liu. Prof. Yang is a tenured Professor and postgraduate studies coordinator at Computer Science and Engineering Department of Hong Kong University of Science and Technology. He is also a member of AAAI, ACM, a senior member of the IEEE, and he is also an as- ciate editor for the IEEE TKDE and IEEE Intelligent Systems, KAIS and WI Journals.