Abstract
In this article, the writer explains that a database is a program allowing the user to collect and organize information, and the home user might use this system for a number of purposes, from keeping track of any collection (such as books, videos, magazine articles, lists of any sort, and so on). The writer then looks at the Microsoft Access data base.

From the Paper
"A database also allows the user to search through the data collected on the basis of one or more search terms and one or more types of information. This makes the database program especially powerful for organizing data and for finding a specific item on the list. Databases can also be used for such tasks as counting items or adding together a set of figures, as when a small business uses a database to keep track of sales and has a column for payments made, a ..."

Tags:access, database

Abstract
This two-page paper presents a discussion about two companies and their products. The writer takes a look at EMC and Network Appliance, Inc and presents an overview of their product, their innovations and other information.

From the Paper
Network Appliance, Inc. is a company that is engaged in the business of network attached data management and storage solutions. As the technological world continues to advance the ability to share and store data on a broad scale level becomes increasingly important and the Network Appliance Inc goal is to provide the means to handle the need.

?Network Appliance hardware, software, and service offerings are used to create, manage and scale seamless data fabrics, moving information to users globally. The Company's products consist of filer storage and caching appliances, data management and content delivery software, and support services. Network Appliance storage appliances, or filers, are systems that provide highly reliable data storage management (Network Appliance http://us.biz.yahoo.com/p/n/ntap.html).?

Tags:Computer, Technology

Abstract
Data mining has become a very important concept today and is used by companies all over the world to increase their profits and target the right market. The paper talks about the different aspects of data mining, tools used, and future trends in data mining. Data mining benefits are discussed in detail, and an entire discussion related to the trends in data mining is presented.

1-Background
2-Introduction
3-Data Mining Growth and Tools
4-The Data Mining Process
5-Data Mining Market Place Trends
6-The Data in Data Mining and Meta Data
7-Types of Data Mining Problems
8-Privacy and Ethical Sensitivity in Data Mining Results
9-Future Prospects of Data Mining
10-Works Cited

From the Paper
"Data, particularly in the vast diversity and immense quantity that it is available to modern business, was till recently almost very hard to find and understand. Yet, the comprehension of data is the most crucial step to extracting the knowledge that it contains. The scenario has drastically changed today where data is much more easily available and has become more "meaningful" with the utilization of Data Mining. Today, technology offers business managers powerful new tools for gleaning knowledge from data-the essentials of data mining. Data mining has become increasingly important to mainstream companies to become more competitive both in their workings and their customer based relationships. Data mining, as such is of great interest because it is imperative for organizations to grasp the competitive value of information contained within their data repositories. There are a number of pertinent benefits of data mining. First of all, data mining provides the tools and techniques that are essential for optimization of customer relationships. Secondly, data mining provides an automatic method of discovering patterns in data. Thirdly, but not the least, data mining tools can identify the relationships that are actually present in historical data."

Tags:base, customer, data, discovery, extracting, knowledge, mining, optimization, patterns, relationships

Abstract
This paper describes that data structure is a way of storing data in a computer so that it can be used efficiently. The paper then goes on to describe how computers store the said data in terms of binary data presentations using Boolean logic. Furthermore, the paper describes data in the form of bits, along with converting binary data into decimals. Lastly, the paper talks about a computer's physical memory, which is based on one of two systems: (1) Random access memory (RAM), or (2) Read-only memory (ROM), and goes on to talk specifically about different coding systems.

From the Paper
"Data directly supported by CPU are called primary data type or machine data type computers. CPUs also process complex data type such as string, array, text files, databases, and image data such as MP3, jpeg, and mpeg. However, 64-bit and the 128-bit use different math functions in order to maintain portability. In each case, there is a signed and unsigned integer type associated with each. Excess notation is a format that is used to represent a signed integer and represents numbers in order and at the transition point; the high-order bit is set at zero. This represents the excess number. Positive numbers are above in order, negative below (Burd 78). Zero represents the excess identifier therefore; the excess 16 notation shows the value for zero is the bit pattern for 16 that is 10000."

Tags:RAM systems, data structure, software, boolean logic, memory

Abstract
The paper explains that data mining is a process whereby enterprises or organizations in any industry approach their respective data and databases in a more constructive and targeted manner to produce actionable business strategies. As some researchers have observed, data mining and data warehousing are becoming more prevalent because of the large quantities of data stored in various systems and the number of business decisions made based on the data.

From the Paper
"Thus, data mining and data mining techniques have risen to prominence with the elevation in importance of databases and, more recently, the development of data warehouses that have changed the complexion of industry in all sectors. Data mining and data warehousing solutions have been especially important in customer relations management (CRM) and in the healthcare industries for example."

Tags:data, mining, warehouse

Abstract
This paper is based on Stephen Burd's book, "System Architecture", Chapter 3, and provides a brief overview of the chapter as a means to help define the process of of explaining how data is managed in a digital computer. The paper's focus is mainly on personal computers but also touches on key elements of larger systems, and historical developments especially those by IBM.

From the Paper
"Data structure is a way of storing data in a computer so that it can be used efficiently (Burd 95). Computers store, retrieve, manipulate, and display data such as words, numbers, sound, and pictures via hardware and software applications and programs that are designed to allow the user to review and work with data and complete a wide range of tasks. In other words, the software (programs such as Photoshop, iTunes, and Word) allows the user to take data and direct it to his or her hardware (the computer itself along with complementary devices such as monitors, speakers, cameras, and printers) so as the data may be evaluated on screen, edited..."

Tags:data, computer, processing

Abstract
This paper describes the business strategy of Space Data Corporation, beginning with a discussion on the initial business model and services offered by the company, a description of the product line strategy and a look at the economic model used to start the business. The paper continues with a discussion of the company's market potential, market segmentation and how the founders raised the capital to start their business. In addition, the paper touches upon the marketing strategy of the company and the technology issues the company faced.

Table of Contents:
The Nature of Entrepreneurial Management
Recognizing and Defining an Opportunity
Formulating a Business Concept
Product Line Strategy
Economic Model of the Business
Estimating Market Potential
Buyer Behavior and Market Segmentation
The Concepts of Objective, Strategies and Tactics/Types of Strategy
Resource Strategies and Leveraging
Finding Money and Raising Capital
Pro Forma Financial Statements
Valuation
Determining How Much Money is Needed
Deal Structure
Marketing Strategy and Tactics for a New Venture
Operations of the Business
Technology Issues within the Venture
Forms of Organization
Problems with Growth Strategies and Harvesting

From the Paper
"Jerry first drew upon family capital, $500,000 total from family members. Board members were sought for their engineering and legal expertise to deal with government regulations regarding the technology, as well as familial loyalty and belief in the project concept, which cold keep legal and employee costs down. Overtures were made to Motorola, the international communications company that was enthused by the concept. The company continued to draw upon familial as well as corporate capital."

Tags:strategy, service-based model, segmentation financing, board members

Abstract
The paper presents the hypothesis that as a company's expected growth in the earnings base and earnings per share increase, stock price will increase. The paper uses a multiple regression model to predict stock prices and presents graphs and tables of figures. The paper explains the results that there is a probable dependent relationship between stock prices and a company's expected growth in the earnings base and earnings per share and concludes that it is possible that as the company's expected growth in the earnings base and earnings per share increases, stock prices will also increase.

From the Paper
"When trying to forecast what a stocks value will look like, there is no simple equation that can inform us precisely how stock prices will perform. So do stock markets price fluctuations move randomly? Do important economic indicators offer investors with useable information? This is important to know because changes in stock prices largely reflect people's opinions, valuations and expectations (Wood, 21)."
"However, there are a few things about the market that may allow predictions of whether a stocks value will move up or down. These forces would be fundamental factors including: the company's expected growth in the earnings base and earnings per share."

Tags:multiple, regression, model, valuations

Abstract
This paper presents an overview of data mining tools commercially available today. These tools are invaluable in helping commercial ventures, scientists, economists, medical practices, and even weather forecasters detect patterns and data sets in vast quantities of information that they have collected. After an overview of what data mining is and how it is utilized, the writer focuses on specific data mining tools on the market. A description of characteristics and the leading products of the type of tool are examined. Finally, a detailed look at a specific product, which uses neural network-based data mining tools, is examined in depth.

From the Paper
"Data mining is the process of seeking and extracting knowledge buried in large volumes of raw data. The importance of collecting data that reflects business or scientific activities is well recognized today. (Brodley, Lane, Stough 1999) Most large and mid range companies now utilize various commercially available data warehousing software for collecting and managing the large quantities of information that they collect. Before data mining technology, the bottleneck in turning raw data into useful information was how to accurately and quickly extract knowledge from the collected raw data. Analysis by humans without special tools cannot make sense of enormous volumes of data that require processing in order to make informed business or scientific decisions. Data mining automates the process of finding relationships and patterns in raw data and delivers results that can be either utilized in an automated decision support system or assessed by human analysts. (Brodley, Lane, Stough)"

Tags:scientist, analysis

Abstract
This paper is a three page long discussion of data integrity from two aspects: physical data storage and the dangers of transmitting data over ad hoc networking systems.

From the Paper
"It's not an exaggeration to state that data integrity is vital to running virtually any business. Without accurate data upon which to rely, a business owner is unable to make accurate or informed business decisions. However, in looking at data integrity research, it would seem that it is difficult to be certain of the accuracy of any data that inform the decision-making process. There are a lot of factors that go into data integrity; however, the physical integrity of the storage media and security of data as it travels from source to the end user are two important parts of the process."

Tags:database, nodes, integrity