Semi-Supervised K-Means Clustering for Outlier Detection in Mammogram Classification K. Thangavel1‚ A. Kaja Mohideen2 Department of Computer Science‚ Periyar University‚ Salem‚ India 1 drktvelu@yahoo.com‚ 2kaja.akm@gmail.com Abstract— Detection of outliers and relevant features are the most important process before classification. In this paper‚ a novel semi-supervised k-means clustering is proposed for outlier detection in mammogram classification. Initially the shape features are extracted
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EXECUTIVE SUMMARY The attached report analyzes the financial position of Semirara Mining Corporation. Semirara Mining Corporation is a publicly-listed mining company and a subsidiary of the DMCI Holdings‚ Inc. The company is engage in the business of coal mining and coal production. As of now‚ Semirara Mining Corporation is the only large-scale coal producer in the Philippines and is engaged in surface open cut mining of thermal coal from its Panian mine on Semirara Island‚ in the Antique Province
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CASE – 1 Dartmouth College Goes Wireless Dartmouth College‚ one of the oldest in the United States (founded in 1769)‚ was one of the first to embrace the wireless revolution. Operating and maintaining a campuswide information system with wires is difficult‚ since there are 161 buildings with more than 1‚000 rooms on campus. In 2000‚ the college introduced a campuswide wireless network that includes more than 500 Wi-Fi (wireless fidelity) systems. By the end of 2002‚ the entire campus became
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L E D G E R E S E A R C H R E P O RT Competing on Analytics THOMAS H. DAVENPORT‚ DON COHEN‚ AND AL JACOBSON MAY 2005 Executive Summary This report describes the emergence of a new form of competition based on the extensive use of analytics‚ data‚ and fact-based decision making. The analytics— quantitative or statistical models to analyze business problems—may be applied to a variety of business problems‚ including customer management‚ supply chains‚ and financial performance. The research
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TYPES OF DATA AND COMPONENTS OF DATA STRUCTURES Data types 1. Primitive: is a data type provided by a programming language as a basic building block 2. Composite: is any data type which can be constructed in a program using its programming language’s primitive data types and other composite types 3. Abstract: is a mathematical model for a certain class of data structures that have similar behavior; or for certain data types of one or more programming languages that have similar semantics
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Paper Creating a Data Warehouse Introduction Data warehouses are the latest buzz in the business world. Not only are they used to store data for reporting and forecasting‚ but they are part of a decision support system. There are many reasons for creating and using a data warehouse. The data warehouse will support the decisions a business needs to make‚ usually on a daily basis. The data warehouse collects data‚ consolidates the data for reporting purposes. Data warehouses are accompanied
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Ministry over the coal mine rights. The Ministry of Coals had earlier (2010) considered keeping 10% of thickly forested areas in the “no go” zone and open others for mining after following the due clearance process. Prior to that the environment ministry had carried out a joint exercise with the coal ministry studying nine major coal mining areas. fields (Singrauli‚IB valley‚Mand Raigarh‚Sohagpur‚Talcher‚Vardha valley‚Hasdeo-Arand‚ North karanpura and West bokaro). The ministry classified these blocks
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without the network planning and configuration of the Data-Warehouse‚ Data-Mart and Data-Mining. The relational database series of logically related two-dimensional tables or files to store information in the form of a database. The files that Wal-Mart will create for an online ordering would be order would be Order Number‚ Order Date‚ Customer Number‚ Delivery Address‚ and Amount Ordered. Employee files would also have unique data‚ Employee Number‚ Data of Hire‚ Employee Name‚ (first and last). Regular
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era of big data Manage‚ optimize and increase availability of your IBM DB2 for Linux‚ UNIX and Windows database and applications— delivering valuable intelligence to help your business users make informed decisions‚ fast Database management solutions for the era of big data 1 Introduction Accelerate development 2 Optimize performance 3 4 Increase availability 5 Give your business a competitive edge Database management solutions for the era of big data Introduction
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Citizen-generated data Diedre Brown‚ Dawn Claggett‚ Emmanuel Lea‚ Peggy Sasso‚ and Lucretia William HCS/535 May 25‚ 2015 Jamila Jones‚ Instructor The health care industry is committed to supporting its communities. The industry continues to seek avenue to keep professionals and the public informed. The use of citizen-generated data is proving to be an increasing avenue to increase this awareness. The purpose of this paper is to provide a Team discussion about citizen-generated data and its advantages
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