By Ravindra K. Ahuja, Thomas L. Magnanti, James B. Orlin
Bringing jointly the vintage and the modern elements of the sector, this accomplished advent to community flows offers an integrative view of concept, algorithms, and functions. It deals in-depth and self-contained remedies of shortest course, greatest circulate, and minimal price circulation difficulties, together with an outline of recent and novel polynomial-time algorithms for those middle versions. For execs operating with community flows, optimization, and community programming.
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Extra info for Network flows: theory, algorithms, and applications(conservative)
Sample text
Discussions about database systems nearly always centered around the organization of data (whether tables were in third normal form, the best indexing scheme to facilitate rapid joins, the handling of volatile and time fluctuating data) rather than the uniform integrity and sharability of data and the use of corporate data resources to discover interesting trends and movements in the outside world. Today, these discussions almost always begin with the concept of a centralized data repository, the data warehouse.
A final set of models combined evidence from many clusters to provide a high level of specificity in detecting and quantifying fraudulent and other forms of anomalous behaviors. By itself, cluster detection and generation are not solutions to the data mining process. Once a population of clusters is identified, rule-generation facilities are used to interpret the meaning of each cluster and produce the final model. In advanced unsupervised data mining systems, genetic algorithms explore many collections of clusters and their associated rules in parallel.
8 A Sample Case: Evolving a Model for Customer Segmentation More and more companies today, small and large, are turning to the World Wide Web (WWW, also called the Web or the Net) as a vehicle to advertise their company’s services and products, provide on-line catalogs or demonstration software, handle technical support, and even sell their products directly to the end user. In the demographics of primary interest to today’s corporations (technically sophisticated, upper-income families), high-speed computers are becoming increasingly common.