Data mining aims at finding interesting, useful or profitable information in very large databases. The enormous increase in the size of available scientific and commercial databases (data avalanche) as well as the continuing and exponential growth in performance of present day computers make data mining a very active field. In many cases, the burgeoning volume of data sets has grown so large that it threatens to overwhelm rather than enlighten scientists. Therefore, traditional methods are revised and streamlined, complemented by many new methods to address challenging new problems. Mathematical Programming plays a key role in this endeavor. It helps us to formulate precise objectives (e.g., a clustering criterion or a measure of discrimination) as well as the constraints imposed on the solution (e.g., find a partition, a covering or a hierarchy in clustering). It also provides powerful mathematical tools to build highly performing exact or approximate algorithms. This book is based on lectures presented at the workshop on "Data Mining and Mathematical Programming" (October 10-13, 2006, Montreal) and will be a valuable scientific source of information to faculty, students, and researchers in optimization, data analysis and data mining, as well as people working in computer science, engineering and applied mathematics.
This chapter is focused on recent advances in mathematical programming
methodologies in data mining research, which is a rapidly emerging
interdisciplinary research area. The main focus of this review chapter lies on
classification ...
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Tersedia di Perpustakaan Universitas Pelita Bangsa
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On microfinance to reduce poverty and unemployment in Indonesia.
Since the dawn of computing, software designers and developers have searched for ways to describe the systems they worked so hard to create. Flowcharts enabled the concise documentation of program-flow and algorithms. Entity-relationship diagrams enabled database designers to convey the structure underlying the collection of tables and columns that made up a schema. From the beginning, technologists recognized the descriptive power inherent in visual representations of a system, yet it wasn't until 1997 that the first attempt to create a visual language that could be used across all aspects of a system development project came to fruition. Unified Modeling Language (UML) was born. UML has taken the software development industry by storm. Widely supported by development and documentation tools, UML can be used on the one hand by programmers to record such things as the detailed design of classes in an object-oriented system and on the other hand by business analysts to give the broad-brush picture of how a system interacts with users and other systems. UML has become the lingua franca of software development, and no one in the software industry can afford to be without knowledge of this powerfully expressive visual language. Learning UMLintroduces UML and places it in perspective, then leads you through an orderly progress towards mastery of the language. You'll begin by learning how UML is used to model the structure of a system. Many key UML concepts, especially that of the general (classes) versus the specific (objects), are illustrated in the chapter on class and object diagrams. Next, you'll learn how to use use-case diagrams to model the functionality of a system. Finally, you'll see how component and deployment diagrams are used to model the way in which a system is deployed in a physical environment. Structural modeling answers the "who" and "what" questions of systems development. Behavioral modeling addresses the questions of "when," "how," and "why." You'll learn how to use sequence and collaboration, to model the interaction over time between system components, how to use state diagrams to describe the life cycle of system components, and how to use activity diagrams to document control-flow and responsibility. Throughout this book, author Sinan Si Alhir maintains a clear focus on UML the language and avoids getting caught up in the cobwebs of methodology. His presentation is direct and to-the-point. Each chapter ends with a set of exercises that you can use to test your growing knowledge of UML and its concepts. As you work your way through the book, you'll find yourself warming up to the simple yet expressive language that is UML, and using it to communicate effectively and professionally about all aspects of system design.
This new book is the definitive primer for UML, and starts with the foundational concepts of object-orientation in order to provide the proper context for explaining UML.
