This volume contains a careful selection of papers that are based on and are extensions of corresponding lectures presented at the jubilee conference. The main subject area called Computational Intelligence includes diverse topics. Therefore, we offer snapshots rather than a full coverage of a small particular subject to the interested...
Although there are hundreds of books about MATLAB, there are no books that fully explore its value in the field of business economics. Few books describe how geographic information can be explicitly incorporated in business decisions, or explain how sophisticated MATLAB applications can be provided to users via the Internet using a...
Optimization is an integral part to science and engineering. Most real-world applications involve complex optimization processes, which are difficult to solve without advanced computational tools. With the increasing challenges of fulfilling optimization goals of current applications there is a strong drive to advance the development of...
Being the de-facto standard for data representation and exchange over the Web, XML (Extensible Markup Language) allows the easy development of applications that exchange data over the Web. This creates a set of data management requirements involving XML. XML and related standards have been extensively applied in many business, service, and...
IN TRADITIONAL COMPUTER GRAPHICS, 3D objects are created using highlevel
surface representations such as polygonal meshes, NURBS (nonuniform
rational B-spline) patches, or subdivision surfaces. Using this modeling
paradigm, visual properties of surfaces, such as color, roughness, and
reflectance, are described by means of a shading...
Soft computing, as a collection of techniques exploiting approximation and tolerance for imprecision and uncertainty in traditionally intractable problems, has become very effective and popular especially because of the synergy derived from its components. The integration of constituent technologies provides complementary methods that allow...
Data mining has developed rapidly and has become very popular in the past two decades, but actually has
its origin in the early stages of IT, then being mostly limited to one-dimensional searching in databases.
The statistical basis of what is now also referred to as data mining has often been laid centuries ago. In
corporate...
Recognizing patterns is at the core of man's attempts to understand the universe that we inhabit. Through the development of sensors and instruments, we have extended our ability to gather data far beyond the range and scale of man's natural senses. As a result we are now able to gather data on phenomena occurring in the far reaches...
These proceedings contain the papers that were presented at the 5th International
Conference on Language and Automata Theory and Applications (LATA
2011), held in Tarragona, Spain, during May 26–31, 2011.
The scope of LATA is rather broad, including: algebraic language theory;
algorithms for semi-structured...
The supply chain of both manufacturing and commercial enterprises comprises a highly distributed environment,
in which complex processes evolve in a network of companies (see Figure 1). Such processes
include materials procurement and storage, production of intermediate and final products, warehousing,
sales, customer service, and...
Bayesian Networks, the result of the convergence of artificial intelligence with statistics, are growing in popularity. Their versatility and modelling power is now employed across a variety of fields for the purposes of analysis, simulation, prediction and diagnosis.
This book provides a general introduction to Bayesian networks,...
Researchers in the engineering industry and academia are making important advances on reliability-based design and modeling of uncertainty when data is limited. Non deterministic approaches have enabled industries to save billions by reducing design and warranty costs and by improving quality.
