reviewing several articles on the Internet‚ I chose the topic of physical security and an article entitled “Lock IT Down: Don ’t overlook physical security on your network”. This particular article peaked my interest because it addresses the various aspects of physical security that can often be overlooked in a world that is so highly focused on threats of cyberterrorism‚ virus attacks‚ hacking‚ application and network security. What caught my attention was the line‚ “If the server is sitting in the
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Big Data‚ Data Mining and Business Intelligence Techniques 2 What is Data? • Data is information in a form suitable for use with a computer. • There are two types of data ▫ Structured ▫ Unstructured • The total volume of data is growing 59% every year. • The number of files grow at 88% every year. 3 What is Big Data? Exa Analytics on Big Data at Rest Up to 10‚000 Times larger Peta Data Scale Giga Data at Rest Tera Data Scale Mega Traditional Data Warehouse
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.......................................................................................... 3 2.1.2 Non-functional requirement ............................................................................................. 5 3. Logical design: Data Modeling (ERD) .................................................................................... 6 4. Logical design: Process Modeling (DFD) ............................................................................... 9 5. Decision
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1 CIPD unit 4DEP - Version 2 18.03.10 Unit title Developing Yourself as an Effective Human Resources or Learning and Development Practitioner Level 4 1 Credit value 4 Unit code 4DEP Unit review date Sept. 2011 Purpose and aim of unit The CIPD has developed a map of the HR profession (HRPM) that describes the knowledge‚ skills and behaviours required by human resources (HR) and learning and development (L&D) professionals. This unit is designed to enable the learner
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DATA COMPRESSION The word data is in general used to mean the information in digital form on which computer programs operate‚ and compression means a process of removing redundancy in the data. By ’compressing data’‚ we actually mean deriving techniques or‚ more specifically‚ designing efficient algorithms to: * represent data in a less redundant fashion * remove the redundancy in data * Implement compression algorithms‚ including both compression and decompression. Data Compression
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CASE WRITE-UP Case: Adobe Data Breach 1. About the Case On October 3‚ 2013‚ The Adobe Systems Incorporated in the United States of America discovered that there was a cyber-attack on their network during its regular monitoring of security check. The hackers made it through breaking in to the network and stole the sensitive and personal data of the customers which includes encrypted credit and debit card information‚ illegal access of customer ID ’s and also source code of other various Adobe
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loved ones‚ having to accept work at poor working conditions‚ low wages‚ etc. The present scenario in India‚ is that the employers are becoming aware of their workers needs and are taking effective measures to improve their morale and self worth by the various Labour Welfare measures both the statutory and voluntary. The reason being the increasing awareness created globally‚ by the initiative of ILO‚ and other organizations‚ the charismatic leadership of some Indian and international labour
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consideration by putting rigorous and appropriate credit appraisal mechanism. This is in order to recover the NPA debt‚ the judicial systems should revamped and is essential to enforce the SARFAESI Act with more stringent provisions to realize the securities and personal assets of the defaulters Major steps taken to solve the problems of Non-Performing Assets in India :- 1. Debt Recovery Tribunals (DRTs) Narasimham Committee Report I (1991) recommended the setting up of Special Tribunals to reduce
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Protection and Security The separation of protection and security is a design choice. Protection is identified as a mechanism‚ which means that it is a device that changes an input into a desired output. Security is identified as a policy‚ which is a procedure to guide the decision making process. Security relies on the protective mechanisms along with cryptology techniques. Protection has security policies that are supported by protective mechanisms and decides
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Data Mining On Medical Domain Smita Malik‚ Karishma Naik‚ Archa Ghodge‚ Shivani Gaunker Shree Rayeshwar Institute of Engineering & Information Technology Shiroda‚ Goa‚ India. Smilemalik777@gmail.com; naikkarishma39@gmail.com; archaghodge@gmail.com; shivanigaunker@gmail.com Abstract-The successful application of data mining in highly visible fields like retail‚ marketing & e-business have led to the popularity of its use in knowledge discovery in databases (KDD) in other industries
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