By Shirley Coleman, Andrea Ahlemeyer-Stubbe
Facts mining is definitely on its option to changing into a well-known self-discipline within the overlapping components of IT, information, laptop studying, and AI. functional info Mining for enterprise provides a trouble-free method of facts mining equipment, overlaying the common makes use of to which it truly is utilized. The technique is complemented by way of case stories to create a flexible reference publication, permitting readers to appear for particular tools in addition to for particular purposes. The publication is formatted to permit statisticians, machine scientists, and economists to
cross-reference from a selected program or way to sectors of curiosity.
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Additional info for A Practical Guide to Data Mining for Business and Industry
Their functionality is restricted to simple operations such as addition and scaling. Algorithmic classes are used for complex tasks such as solving linear systems of equations and serve for implementing a variety of algorithms for solving numerical (sub-)problems. Linear programming algorithms are also available as spreadsheet add-ons which afford users the opportunity to manipulate their data using the spreadsheet interface. , LINDO or Frontline; see Savage (1997). While many linear combinatorial optimization problems, such as minimum-cost network flow problems, can be modeled as linear programs, specialized algorithms generally solve such problems more efficiently.
An equivalent set of classes has yet to be implemented for Microsoft platforms. All of the core framework is documented through the strict use of comments in the header files. A program similar to the Javadoc (Flanagan (1999)) program reads the header files and automatically generates HTML documentation pages. Although Templar is primarily designed to be a framework for the implementation of optimization techniques and problems, there is an implementation of a simple application that allows users to create, manipulate, and experiment with TrEngines and TrProblems.
2 Integer Linear Programming Packages Integer and mixed integer programming problems, which are in general can be addressed by well-known combinatorial optimization algorithms. While these problems may in theory be intractable due to high computational requirements, recent advances in both corresponding algorithms and computing technology have led to a broad applicability of a variety of methods. Almost all libraries mentioned in the preceding section also include methods for solving integer programming problems by branch-and-bound algorithms exploiting linear programming relaxations.