Journal of Advanced Database Management & Systems
Volume 3, Issue 3 (2016)
Published
Table of contents
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A Review on Big Data
Abstract: AbstractThe goal of Big Data is to help organizations make better business decisions based on information by enabling researchers, data scientists and other analytics professionals to analyze large volumes of operational data, as well as other forms of data that may not be discovered by conventional Business Intelligence (BI) programs. This gives rise to the need for an analytical review of recent developments in the big data technology. Cloud services …
Published in Journal of Advanced Database Management & Systems · Vol. 3, Issue 3, 2016 · pp. 1–7 Read article
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IoT Based Biometric System
Abstract: AbstractResearch on “Internet of Things” (IoT) is burgeoning time to time owing to its real application in the field of science and technology. The combination of cloud computing, big data, future internet, robotics, semantic technologies, and IoT deal with several applications in every automation pitch. IoT integrates the real world data and services into current information networking for realizing different practical devices. In view of importance of Internet of Things, …
Published in Journal of Advanced Database Management & Systems · Vol. 3, Issue 3, 2016 · pp. 17–23 Read article
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A Review on Inventory Management System for Improving Efficiency of Project Development Cycle
Abstract: AbstractInventory is a major element of many organizations. Consequently, its proper control is crucial for the profitability of the organization and development of circumventing communities. Inventory Management System (IMS) enables the visualization, specification, and documentation of a software-intensive system. The software was tested for enhancing the workflow and providing a timely and efficient handling. The manual system requires everyday counting of items in the inventory, human errors are very prevalent …
Published in Journal of Advanced Database Management & Systems · Vol. 3, Issue 3, 2016 · pp. 24–29 Read article
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Information Privacy and Security in Data Mining
Abstract: AbstractThe improving popularity and growing of data mining technologies bring very serious effect to the security of individual's sensitive information. In the recent years, the privacy preserving data mining (PPDM), has been extensively studied and it is an emerging research subject in data mining. Without accommodating the security of sensitive information contained in the data, the basic idea of PPDM is to implement the data in such a manner so …
Published in Journal of Advanced Database Management & Systems · Vol. 3, Issue 3, 2016 · pp. 30–44 Read article
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Effective Implementation of Apriori Algorithm to Develop a Suggestion System Based on Sales History Using Hadoop Environment
Abstract: AbstractThe need for comprehensive support system to analyze and predict the nature of the dynamic market based on the previous records is very vital in competent industries today. The data mining is a process of extracting implicit, previously unknown and potentially useful information from data. Mining is search for relationships and global patterns that exist in the large databases but that are hidden among vast amount of data. Since the …
Published in Journal of Advanced Database Management & Systems · Vol. 3, Issue 3, 2016 · pp. 8–16 Read article