Looking at data

Current research directions are looking at Data Mining (DM) and Knowledge Management (KM) as complementary and interrelated felds, aimed at supporting, with algorithms and tools, the lifecycle of knowledge, including its discovery, formalization, retrieval, reuse, and update. While DM focuses on the extraction of patterns, information, and ultimately knowledge from data (Giudici, 2003; Fayyad et al.
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Java and XML Data Binding Brett McLaughlin Publisher: O'Reilly First Edition May 2002 ISBN: 0596002785, 214 pages Table of Contents Index Full Description Reviews Reader reviews Errata This new title provides an indepth technical look at XML Data Binding. The book offers complete documentation of all features in both the Sun Microsystems JAXB API and popular open source alternative implementations (Enhydra Zeus, Exolabs Castor and Quick).
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The application of data: products and processes – A “data product” can emerge from virtually any domain, including everything from data startups to established enterprises to media/journalism to education and research. Take a closer look at the actions connected to data  the finding, organizing, and analyzing that provide organizations of all sizes with the information they need to compete.
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The first question that I ask an environmental science student who comes seeking my advice on a data analysis problem is Have you looked at your data? Very often, after some beating around the bush, the student answers, Not really. The student goes on to explain that he or she loaded the data into an analysis package provided by an advisor, or downloaded off the web, and it didn’t work. The student tells me, Something is wrong with my data! I then ask my second question: Have you ever used the analysis package with a dataset that did work? After some further beating around the bush,...
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Visualization is the graphic presentation of data  portrayals meant to reveal complex information at a glance. Think of the familiar map of the New York City subway system, or a diagram of the human brain. Successful visualizations are beautiful not only for their aesthetic design, but also for elegant layers of detail that efficiently generate insight and new understanding.
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In this topic, we will look at linked lists: The Node and List classes, accessors and mutators, the implementation of various member functions, stepping through a linked list, defining the copy and assignment operator, defining move constructors and move assignment operators, discussed efficiencies.
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This topic gives an overview of the mathematical technique of a proof by induction: We will describe the inductive principle, look at ten different examples, four examples where the technique is incorrectly applied, wellordering of the natural numbers, strong induction, geometric problems.
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In this topic, we will look at: Justification for analysis, quadratic and polynomial growth, counting machine instructions, Landau symbols, BigQ as an equivalence relation, littleo as a weak ordering.
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An Abstract List (or List ADT) is linearly ordered data where the programmer explicitly defines the ordering. We will now look at our first abstract data structure: Relation  explicit linear ordering, operations, implementations of an abstract list with linked lists and arrays, memory requirements, strings as a special case, the STL vector class.
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This topic will cover tree traversals: A means of visiting all the objects in a tree data structure, we will look at breadthfirst traversals and depthfirst traversals (Preorder and Postorder depthfirst traversals), applications, general guidelines.
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In computer science, a binary tree is a tree data structure in which each node has at most two children, which are referred to as the left child and the right child. In this talk, we will look at the binary tree data structure: Definition, properties, a few applications (Ropes, expression trees).
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In this lecture we will continue our study of trees by examining a few special kinds of trees. This topic quickly looks at a generalization of a binary tree, where each node has up to N children: Definition, perfect Nary trees, complete Nary trees, implementation using templates.
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Chapter 14  Network security: Firewalls and VPNs. In this chapter, we look at four issues of security: privacy, authentication, integrity, and nonrepudiation. We show how the first can be achieved through secretkey or privatekey encryption. We discuss a concept called digital signature that satisfies the three other conditions. We talk about how security is implemented in the Internet.
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This topic gives an overview of the mathematical technique of a proof by induction: We will describe the inductive principle, look at ten different examples, four examples where the technique is incorrectly applied, wellordering of the natural numbers, strong induction, geometric problems.
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This chapter presents the following content: The AES selection process; The details of Rijndael – the AES cipher; looked at the steps in each round; out of four AES stages, two are discussed; substitute bytes; shift rows.
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In this topic, we will look at: Justification for analysis, quadratic and polynomial growth, counting machine instructions, Landau symbols, BigQ as an equivalence relation, littleo as a weak ordering.
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An Abstract List (or List ADT) is linearly ordered data where the programmer explicitly defines the ordering. We will now look at our first abstract data structure: Relation  explicit linear ordering, operations, implementations of an abstract list with linked lists and arrays, memory requirements, strings as a special case, the STL vector class.
41p nanhankhuoctai9 23062020 12 0 Download

In this topic, we will look at linked lists: The Node and List classes, accessors and mutators, the implementation of various member functions, stepping through a linked list, defining the copy and assignment operator, defining move constructors and move assignment operators, discussed efficiencies.
53p nanhankhuoctai9 23062020 3 0 Download

This topic will cover tree traversals: A means of visiting all the objects in a tree data structure, we will look at breadthfirst traversals and depthfirst traversals (Preorder and Postorder depthfirst traversals), applications, general guidelines.
33p nanhankhuoctai9 23062020 16 0 Download

In computer science, a binary tree is a tree data structure in which each node has at most two children, which are referred to as the left child and the right child. In this talk, we will look at the binary tree data structure: Definition, properties, a few applications (Ropes, expression trees).
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