Graphs - Introduction Terminology Graph ADT Data Structures Reading: 12.1-12.2 COSC 2011‚ Summer 2004 Definition • A graph is a pair (V‚ E)‚ where – V is a set of nodes‚ called vertices – E is a collection of pairs of vertices‚ called edges • Both are objects (i.e. store data) G E B F A Vertex city computer web page airport C D COSC 2011‚ Summer 2004 H Edge road cable hyperlink flight Example Applications • • • • • Electronic circuits – Printed circuit board – Integrated circuit Transportation
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The Enterprise Data Model Introduction An Enterprise Data Model is an integrated view of the data produced and consumed across an entire organization. It incorporates an appropriate industry perspective. An Enterprise Data Model (EDM) represents a single integrated definition of data‚ unbiased of any system or application. It is independent of "how" the data is physically sourced‚ stored‚ processed or accessed. The model unites‚ formalizes and represents the things important to an organization
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1. ------------------------------------------------- Types of searching 2.1 Binary search tree In computer science‚ a binary search tree (BST) is a node based binary tree data structure which has the following properties: * The left subtree of a node contains only nodes with keys less than the node ’s key. * The right subtree of a node contains only nodes with keys greater than the node ’s key. * Both the left and right subtrees must also be binary search trees. From the
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principles that apply for organisations and management. In order to compare and contrast these principles‚ we must first identify their different types of culture‚ structure and management styles. The following charts represent two different companies Figure 1: Chelsea Football Club Ltd. [pic] Figure2: Atlas Converting Ltd. [pic] Organisational Structure & Culture Due to the differentials in nature and type of these
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Kernel Data Structures Umair Hussain Malik p10-6016 p106016@nu.edu.pk As with any large software project‚ the Linux kernel provides these generic data structures and primitives to encourage code reuse. Kernel developers should use these data structures whenever possible and not “roll your own” solutions. In the following sections‚ we cover the most useful of these generic data structures‚ which are the following: * Linked lists * Queues * Maps * Binary trees Linked Lists
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in Data Structure Source: http://www.algolist.net/Algorithms/Graph/Undirected/Depth-first_search Introduction to graphs Graphs are widely-used structure in computer science and different computer applications. We don’t say data structurehere and see the difference. Graphs mean to store and analyze metadata‚ the connections‚ which present in data. For instance‚ consider cities in your country. Road network‚ which connects them‚ can be represented as a graph and then analyzed. We can examine‚ if
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Compare and contrast an idea from one week’s readings to a previous week’s readings. Each step of the life course perspective can be correlated to similar stages theorized by Erik Erikson’s stages of psychosocial development. Throughout an individual’s life from infancy through late adulthood Erikson identified eight stages of development according to their natural schema and social environment. With each stage different psychosocial tasks are encountered and if they are mastered a certain virtue
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Compare and Contrast Essay Sample Comparison and Contrast of Two Art Periods and Their Major Works Renaissance and Neoclassicism are two major periods in the history of art during which different forms of art including architecture‚ painting‚ music and visual arts‚ significantly progressed. During these periods‚ different artists gained enormous fame as a result of the masterpieces reflecting how the ideologies and artistic philosophies evolved during that time. The essay compares and contrasts
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Running Head: Database Development Case Study: Database Development Maintenance plans and activities that could be performed in order to improve data quality In order to improve the quality of datasets various activities to be performed like error detection and correlation‚ process design and process control and improvement In error detection method‚ errors are detected by comparing data to a correct baseline and by checking for missing values. By examining time stamp incorrected
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A MULTIDIMENSIONAL DATA MODEL Data warehouses and OLAP tools are based on a multidimensional data model. This model views data in the form of a data cube. FROM TABLES TO DATA CUBES What is a data cube? A data cube allows data to be modeled and viewed in multiple dimensions. It is defined by dimensions and facts. In general terms‚ dimensions are the perspectives or entities with respect to which an organization wants to keep records. Each dimension may have a table associated with it‚ called
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