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Advances in Knowledge Representation
Advances in Knowledge Representation offers a compilation of state of the art research works on topics such as concept theory, positive relational algebra and k-relations, structured, visual and ontological models of knowledge representation, as well as detailed descriptions of applications to various domains, such as semantic representation and extraction, intelligent information retrieval, program proof checking, complex planning, and data preparation for knowledge modelling, and a extensive bibliography. It is a valuable contribution to the advancement of the field. The expected readers are advanced students and researchers on the knowledge representation field and related areas; it may also help to computer oriented practitioners of diverse fields looking for ideas on how to develop a knowledge-based application.
Knowledge-Oriented Applications in Data Mining
The progress of data mining technology and large public popularity establish a need for a comprehensive text on the subject. The series of books entitled by 'Data Mining' address the need by presenting in-depth description of novel mining algorithms and many useful applications. In addition to understanding each section deeply, the two books present useful hints and strategies to solving problems in the following chapters. The contributing authors have highlighted many future research directions that will foster multi-disciplinary collaborations and hence will lead to significant development in the field of data mining.
The Legal 500
None
Empowering India Through Digital Literacy (Vol. 1)
Traditionally education is centered on sources such as schools, teachers and print media. The learners reached the information sources by enrolling with schools, teachers and libraries. Prior to the digital era, information was not accessible by the majority of people, and even those accessed were unable to obtain current information with respect to today's context. The modern society wants to know the information as it happens and when it happens, and the world is moving from an information society to a knowledge society. Thus education is given the highest priority and brainpower is becoming the most valuable asset of an organisation. Advances in digital technology have opened up many avenues of learning. Technology has made information accessible / transmittable from anywhere and by / to all groups of people. The higher education landscape is changing rapidly, challenging academic professionals to think critically about their roles in the field.
Organon
None
Haller's Polish Army in France
"The Polish Army in France (Armia Polska Francyi) -- commonly known as Haller's Army (Armia Hallera), in recognition of their commanding general, and the Blue Army, named for their French-issued blue uniforms - was a volunteer army recruited from 47 centers and camp Niagara in the United States and Canada, starting in October 1917 and ending in March 1919. This fighting force was comprised predominantly of Polish nationals living in the United States and Canada who volunteered to fight in France towards the last year of World War I, and to continue fighting in Poland for its independence from all neighboring governments. What started out as part of the Great War to end all wars, ended up as the Polish-Soviet War of 1919-1921"--Page 15.
Polski Indeks Biograficzny
Also available as "World Biographical Index" Online and on CD-ROM
Soft Modeling in Industrial Manufacturing
This book discusses the problems of complexity in industrial data, including the problems of data sources, causes and types of data uncertainty, and methods of data preparation for further reasoning in engineering practice. Each data source has its own specificity, and a characteristic property of industrial data is its high degree of uncertainty. The book also explores a wide spectrum of soft modeling methods with illustrations pertaining to specific cases from diverse industrial processes. In soft modeling the physical nature of phenomena may not be known and may not be taken into consideration. Soft models usually employ simplified mathematical equations derived directly from the data obtained as observations or measurements of the given system. Although soft models may not explain the nature of the phenomenon or system under study, they usually point to its significant features or properties.
