Data Mining Assignment 4 Shauna N. Hines Dr. Progress Mtshali Info Syst Decision-Making December 7‚ 2012 Benefits of Data Mining Data mining is defined as “a process that uses statistical‚ mathematical‚ artificial intelligence‚ and machine-learning techniques to extract and identify useful information and subsequent knowledge from large databases‚ including data warehouses” (Turban & Volonino‚ 2011). The information identified using data mining includes patterns indicating trends‚ correlations
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Department of Education Office of Federal Student Aid Data Migration Roadmap: A Best Practice Summary Version 1.0 Final Draft April 2007 Data Migration Roadmap Table of Contents Table of Contents Executive Summary ................................................................................................................ 1 1.0 Introduction ......................................................................................................................... 3 1.1 1.2 1.3 1.4 Background
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SECURE ATM BY IMAGE PROCESSING [attachment=11735] ABSTRACT This paper encloses the information regarding the ‘IMAGE PROCESSING’. And discussed one of the major application of image processing ‘BIOMETRICS’. Biometrics technology allows determination and verification of ones identity through physical characteristics. To put it simply‚ it turns your body in to your password. We discussed various biometric techniques like finger scan‚ retina scan‚ facial scan‚ hand scan etc. Two algorithms have been
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1) ________ is data that has been organized or presented in a meaningful fashion. 1) _______ A) A number B) Information C) A symbol D) A character 2) Which of the following is NOT one of the four major data-processing functions of a computer? 2) _______ A) storing the data or information B) gathering data C) analyzing the data or information D) processing data into information
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DATA SECURITY IN LOCAL NETWORK USING DISTRIBUTED FIREWALLS ABSTRACT Computers and Networking have become inseparable by now. A number of confidential transactions occur every second and today computers are used mostly for transmission rather than processing of data. So Network Security is needed to prevent hacking of data and to provide authenticated data transfer. Network Security
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FOUR GENERAL EVIDENCE PROCESSING GUIDELINES Four General Evidence Processing Guidelines Jennifer Farmer American InterContinental University Abstract The best way to preserve digital forensic evidence is to follow the four guidelines created. The four guidelines pertain to evidence collection‚ storage‚ processing‚ retrieval and documentation. Four General Evidence Processing Guidelines Digital forensic evidence is extremely fragile and should be handled with care in order to avoid alteration
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in SANS Institute infoSecReading Room‚ 1.4b ed. 2004. [2] C.M [3] L. Jerry‚ C. Barbara “Shrouds of Time: The History of RFID”‚ AIM Publication‚ ver. 1.0‚ 2001. [4] M [5] N. Gabriel‚ I. Mitraszewska‚ K. Tomasz‚ “The Polish Pilot Project of Automatic Toll Collection System”‚Proceedings of the 6thInternational Scientific Conference TRANSBALTICA‚ 2009. [6]W.C Tang‚ T.V [7]M.S Ismail‚ M.Y KhairUl-Anwar‚ A.Z. Zaida‚ “Electronic Toll Collection (ETC) Systems Development in Malaysia”‚ 2007 APPENDIX
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NI VIRT RES SHR S %CPU %MEM TIME+ COMMAND 2021 xyz 20 0 XXXXX XXXX 1664 S 0 0.2 0:00.43 bash 2 PID PPID TIME+ %CPU %MEM PR NI S VIRT SWAP RES UID COMMAND 2021 2019 0:00.43 0 0.2 20 0 S 22132 16m 4952 1000 bash 3 PID %MEM VIRT SWAP RES CODE DATA SHR nFLT nDRT S PR NI %CPU COMMAND 2021 0.2 22132 16m 4952 XXX XXXX X664 1 0 S 20 0 0 bash 4 PID PPID UID USER RUSER TTY TIME+ %CPU %MEM S COMMAND 2021 2019 1000 xyz xyz pts/0 0:00.43 0 0.2 S bash Above you can see the swap space. You can
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Lab manual for Digital Signal Processing Lab III B. Tech II Semester Prepared by J. Sunil Kumar‚ P.Saritha & Ch.Sateesh kumar reddy Department of Electronics & Communication Engineering Turbomachinery Institute of Technology & Sciences (Approved by AICTE & Affiliated to JNTUH) Indresam(v)‚ Patancheru(M)‚ Medak(Dist). Pin: 502 319 Date:………… DSP Lab Manual ……… Turbomachinery Institute of Technology & Sciences Certificate This is to certify that Mr. / Ms. ………………………………….
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IT433 Data Warehousing and Data Mining — Data Preprocessing — 1 Data Preprocessing • Why preprocess the data? • Descriptive data summarization • Data cleaning • Data integration and transformation • Data reduction • Discretization and concept hierarchy generation • Summary 2 Why Data Preprocessing? • Data in the real world is dirty – incomplete: lacking attribute values‚ lacking certain attributes of interest‚ or containing only aggregate data • e.g.‚ occupation=“ ”
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