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    Data Mining

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    Nagham Hamid‚ Abid Yahya‚ R. Badlishah Ahmad & Osamah M. Al-Qershi Image Steganography Techniques: An Overview Nagham Hamid University Malaysia Perils (UniMAP) School of Communication and Computer Engineering Penang‚ Malaysia nagham_fawa@yahoo.com Abid Yahya University Malaysia Perlis (UniMAP) School of Communication and Computer Engineering Perlis‚ Malaysia R. Badlishah Ahmad University Malaysia Perlis (UniMAP) School of Communication and Computer Engineering Perlis‚ Malaysia

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    various guidelines for the banking sector of the country. A sound banking system is important for smooth development of banking system. It can play a key role in the economy. It gathers savings from all over the country and provides liquidity for industry and trade. In 1957 A.D. Industrial Development Bank was established to promote the industrialization in Nepal‚ which was later converted into Nepal Industrial Development Corporation (NIDC) in 1959 A.D. Rastriya Banijya Bank was established in 1965

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    Data mining and warehousing and its importance in the organization Data Mining Data mining is the process of analyzing data from different perspectives and summarizing it into useful information - information that can be used to increase revenue‚ cuts costs‚ or both. Data mining software is one of a number of analytical tools for analyzing data. It allows users to analyze data from many different dimensions or angles‚ categorize it‚ and summarize the relationships identified. Technically‚ data

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    When people consider the roll of mining in Canada‚ they only think about the impact it has on the environment or perhaps panning for gold in the Yukon over a hundred years ago. Few realize how essential mining is to modern day Canadian and international society. Though mining might negatively affect Canada’s environment‚ the pros of mining exceed the cons. Mining is one of the top economic sectors that will help Canada develop and become financially secure. Canada is a world leading country with

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    GROUP PRESENTATION BY: RIDA WAHID SHAFIA ASKARI DANIYAL ARSHAD 2 OUTLINE DBMS DATA MINING APPLICATIONS RELATIONSHIP 3 DATA BASE MANAGEMENT SYSTEM A complete system used for managing digital databases that allow storage of data‚ maintenance of data and searching data. 4 DATA MINING  Also known as Knowledge discovery in databases (KDD).  Data mining consists of techniques to find out hidden pattern or unknown information within a large amount of

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    SWOT ANALYSIS When we talk about of strategic decision making in an organization‚ we must take consider many factors that must be studied within the company. For that‚ there are several useful tools such as SWOT analysis‚ which is meant (strengths‚ Weaknesses‚ opportunities‚ and Threats)‚ this method is the simplest and effective way to analyze the present and see how will be the future of the company. The main purpose of this analysis is to support the organization to locate the strategic aspects

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    Data Mining Information

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    Define data mining. Why are there many different names and definitions for data mining? Data mining is the process through which previously unknown patterns in data were discovered. Another definition would be “a process that uses statistical‚ mathematical‚ artificial intelligence‚ and machine learning techniques to extract and identify useful information and subsequent knowledge from large databases.” This includes most types of automated data analysis. A third definition: Data mining is the process

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    Some of the major trends in the industry driving equipment and product development are as follows: § Safety - There is a big drive from major mining countries like Australia‚ acknowledged to be the safest mining industry in the world‚ and USA and Canada‚ to design safer equipment and solutions in mining applications. The design of equipment is closely evaluated by thorough risk assessment procedures. Examples are the risk of fire‚ with redesigned engine compartment hydraulics into hot and

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    Mining Law in Zimbabwe

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    MIDLANDS STATE UNIVERSITY Faculty of law name : Joseph T Makuni Reg number: r123641F MODULe : Mining Law LEVEL 3.1 LECTURER P. Manatsa Zimbabwe is currently grappling with the process of formulating a new mining legislative and policy framework. In your opinion what do you consider should be the major pillars for this framework‚ give reasons to support your answer? [30] Zimbabwe

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    scrapping the mining tax

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    SCRAPPING THE MINING TAX- IS IT GOOD OR BAD? Executive summary Introduction The Australian governments mining tax‚ the mineral resource rent tax (MRRT) has always been under the radar for its ever changing policies. It is very easy to pint out its significant issues‚ but reforming the tax is quite a major task at hand. All the corporations involved within the mining industry‚ as well the different corporations in the economy‚ pay a current income tax rate of 30% on its revenue that they earn

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