Data Management

Ethical, Security, Legal and Privacy Concerns of Data Mining

Data mining is a powerful new technology with great potential to help companies focus on the most important information in the data they have collected about the behavior of their customers and potential customers. It discovers information within the data that queries and reports can’t effectively reveal.

The amount of raw data stored in corporate databases is exploding. From trillions of point-of-sale transactions and credit card purchases to pixel-by-pixel images of galaxies, databases are now measured in gigabytes and terabytes. Raw data by itself, however, does not provide much information. In today’s fiercely competitive business environment, companies need to rapidly turn these terabytes of raw data into significant insights into their customers and markets to guide their marketing, investment.… Read the rest

Abey Francis

Database Security Threats and Countermeasures

Information is very critical asset. Organizations create so much information and they use database systems to handle the information within them to automate various functions. Due to information importance, information protection is a critical component of the database management system. Information security is the goal of a database management system (DBMS), also called database security.

To be able to manage a huge amount of data effectively and fast, a well organized system is needed to build. It will also need to store and retrieve data easily. Generally, a database system is designed to be used by many users simultaneously for the specific collections of data.… Read the rest

Abey Francis

Data Warehouse Architecture – Concept and Models

According to William Inmon, data warehouse is a subject-oriented, integrated, time-variant, and non-volatile collection of data in support of the management’s decision-making process. Data warehouse is a database containing data that usually represents the business history of an organization. This historical data is used for analysis that supports business decisions at many levels, from strategic planning to performance evaluation of a discrete organizational unit. It provides an effective integration of operational databases into an environment that enables strategic use of data. These technologies include relational and MDDB management systems, client/server architecture, meta-data modelling and repositories, graphical user interface and much more.… Read the rest

Abey Francis

Text Mining Concept in Data Mining

Data mining is the process of extracting patterns from data. Data mining is becoming an increasingly important tool to transform the data into information. It is commonly used in a wide range of profiling practices, such as marketing, surveillance, fraud detection and scientific discovery. Data mining can be applied on a variety of data types. Data types include structured data (relational), multimedia data, free text, and hypertext.

Nowadays, text is the most common and convenient way for information exchange. This due to the fact that much of the world’s data is contained in text documents (newspaper articles, emails, literature, web pages, etc.).… Read the rest

Abey Francis

Data Warehousing and Data Mining

Organizations tend to grow and prosper as they gain a better understanding of their environment. Typically, business managers must be able to track daily transactions to evaluate how the business is performing. By tapping into the operational database, management can develop strategies to meet organizational goals. The process that identified the trends and patterns in data are the factors to accomplish that. By the way, the way to handle the operational data in organization is important because the reason for generating, storing and managing data is to create information that becomes the basis for rational decision making. To facilitate the decision-making process, decision support systems (DSS) were developed whereas it is an arrangement of computerized tools used to assist managerial decision making within a business.… Read the rest

Abey Francis

What is Web Mining?

Web Mining is the technique which is used to extract and discover the information from web documents and services automatically. The interest of various research communities, tremendous growth of information resources on Web and recent interest in e-commerce has made this area of research very huge. Web mining can be usually decomposed into subtasks.

  • Resource finding: fetching intended web documents.
  • Information selection and pre-processing: selecting and preprocessing specific information from fetched web resources automatically.
  • Generalization: automatically discovers general patterns at individual and across multiple website
  • Analysis: validation and explanation of mined patterns.

Web Mining can be mainly categorized into three areas of interest based on which part of Web needs to be mined: Web Content Mining, Web Structure Mining and Web Usage Mining.… Read the rest

Abey Francis