Module 815 Data Structures Using C M. Campbell © 1993 Deakin University Module 815 Data Structures Using C Aim After working through this module you should be able to create and use new and complex data types within C programs. Learning objectives After working through this module you should be able to: 1. Manipulate character strings in C programs. 2. Declare and manipulate single and multi-dimensional arrays of the C data types. 3. Create‚ manipulate and manage C pointers
Premium Data type Programming language
Data Mining: What is Data Mining? Overview Generally‚ data mining (sometimes called data or knowledge discovery) 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
Premium Data mining Data management
team‚ collect different types of data. One of them is meeting legal requirements. In order to satisfy legal obligations we collect such information as contractual arrangements‚ employees’ duties‚ privileges‚ salaries‚ working hours‚ vacation accruals‚ bonuses‚ as well as documents relating to health and safety. The Russian Labor Inspection can check any data regarding individual employees and it is important for the organization to timely provide accurate and valid data in order to avoid fees or other
Premium Law Data Protection Act 1998 Human resource management
Data Security and Regulations SRK Abstract This paper discusses data security‚ its importance and implementation. The way threats are posed to information of organizations is also discussed. There are plenty of leakage preventive solutions available in the market. Few of them are listed in the paper. There is a list of regulations governing data security in financial and healthcare sector at the end. Data Security and Regulations As we are advancing into information age‚ more
Premium Information security
Data Analysis The first question of the set of 15 questions was about the age limit of the respondents. We collected all data from the age group starting from 15years. Most of the respondents fall into the age limit of 16-25 years which is 54% of the total respondents. 18of the 50 respondents were 26-35 years of age which is 36%. [pic] [pic] Q1: your most preferable Schemes when you are Thinking about a savings account? This was the question that gives the critical information
Premium Regression analysis Cheque
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
Premium Data mining
.......................................................................................... 3 2.1.2 Non-functional requirement ............................................................................................. 5 3. Logical design: Data Modeling (ERD) .................................................................................... 6 4. Logical design: Process Modeling (DFD) ............................................................................... 9 5. Decision
Premium Requirements analysis
Quality Improvement Plan: Part III - Managing and Improving Quality In today’s health care environment‚ competition remains high and many organizations are seeking new ways to improve their quality of care‚ as well as remain competitive with other health care organizations in the process. Various methods exist today for organizations to integrate quality improvement strategies to help in the measurement of performance improvements. This paper will discuss:1) several methodologies‚ the pros and
Premium Quality management Six Sigma Strategic management
manufacturing systems. With reference to this second framework‚ two indexes were selected (static and dynamic complexity index) and a Business Dynamic model was developed. This model was used with empirical data collected in a job shop manufacturing system in order to test the usefulness and validity of the dynamic complex index. The Business Dynamic model analyzed the trend of the index in function of different inputs in a selected work center. The results showed that the maximum value of the dynamic
Premium Complexity Information theory Computational complexity theory
Chapter 2 Developing a Sustainable Supply Chain Strategy Balkan Cetinkaya Learning Goals. By reading this chapter you will: l l l l l Know the basics of competitive strategy and supply chain strategy and understand their interrelations Understand the need for a sustainable supply chain strategy Understand the ingredients of a sustainable supply chain strategy Apply a generic‚ iterative approach to develop your sustainable supply chain strategy Apply a balanced scorecard to
Premium Supply chain management Sustainability Supply chain