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Advances in Business and Management Forecasting
Presents studies in the application of forecasting methodologies to such areas as sales, marketing, and strategic decision making. This title covers such topics as sales and marketing, forecasting, new product forecasting, judgmentally based forecasting, the application of surveys to forecasting, and forecasting for strategic business decisions.
Applications of Management Science
Volume 20 of Applications of Management Science focuses on the application of management science methodologies, data envelopment analysis and multi-criteria decision making.
Contemporary Perspectives in Data Mining
The series, Contemporary Perspectives on Data Mining, is composed of blind refereed scholarly research methods and applications of data mining. This series will be targeted both at the academic community, as well as the business practitioner. Data mining seeks to discover knowledge from vast amounts of data with the use of statistical and mathematical techniques. The knowledge is extracted from this data by examining the patterns of the data, whether they be associations of groups or things, predictions, sequential relationships between time order events or natural groups. Data mining applications are in business (banking, brokerage, and insurance), marketing (customer relationship, retailing, logistics, and travel), as well as in manufacturing, health care, fraud detection, homeland security and law enforcement.
Lions 318C Mini Directory
Lions Clubs International District 318C, District Governor Lion AR Thomas Jacob MJF, released a Mini Directory of Lions Officials for the year 2016-17. This is a Digital Edition of the same for use in Mobile Phones, Tablets and Lap Tops.
Lions 318C District Directory (2017-18)
Directory for Lions District 318C is released by District Governor MJF Lion Adv Abraham John, for the year 2017-18, containing Details on Lion Leaders, Clubs and Members. It covered all the Regions, Zones and Club Level Information along with Lions Clubs International. The slogan for the year is Past Glory - Future Hope - We Serve. This Digital Edition is a replica of the Print Edition, to enable reading in the Mobile Phones and enable Portability of the Heavy Directory information.
Applications of Management Science
Section one is focused on multi-criteria decision applications, the second on supply chain management and finally authors look at productivity analysis. Thus this volume will be of interest to those involved in the applications of these methods, in a realistic managerial problem solving environment through the use of management science modeling.
Data Mining Methods and Applications
With today's information explosion, many organizations are now able to access a wealth of valuable data. Unfortunately, most of these organizations find they are ill-equipped to organize this information, let alone put it to work for them. Gain a Competitive Advantage Employ data mining in research and forecasting Build models with data management
Organizational Applications of Business Intelligence Management: Emerging Trends
"This book offers a deep look into the latest research, tools, implementations, frameworks, architectures, and case studies within the field of Business Intelligence Management"--Provided by publisher.
The Supply Chain in Manufacturing, Distribution, and Transportation
Reporting on cutting-edge research in production, distribution, and transportation, The Supply Chain in Manufacturing, Distribution, and Transportation: Modeling, Optimization, and Applications provides the understanding needed to tackle key problems within the supply chain. Viewing the supply chain as an integrated process with regard to tactical
Contemporary Perspectives in Data Mining, Volume 1
The series, Contemporary Perspectives on Data Mining, is composed of blind refereed scholarly research methods and applications of data mining. This series will be targeted both at the academic community, as well as the business practitioner. Data mining seeks to discover knowledge from vast amounts of data with the use of statistical and mathematical techniques. The knowledge is extracted form this data by examining the patterns of the data, whether they be associations of groups or things, predictions, sequential relationships between time order events or natural groups. Data mining applications are seen in finance (banking, brokerage, insurance), marketing (customer relationships, retailing, logistics, travel), as well as in manufacturing, health care, fraud detection, home-land security, and law enforcement.
