Journal of Advanced Database Management & Systems
Volume 1, Issue 2 (2014)
Published
Table of contents
-
An Improved SentiWordNet for Opinion Mining and Sentiment Analysis
Abstract: Opinion Mining and Sentiment Analysis is an emergent research area, spanning over multiple disciplines such as data mining, text mining, etc. Opinion mining is an art of extracting the opinions from the huge set of opinion set or reviews. Sentiment analysis is a type of natural language processing for tracking the mood of the public about a particular product or topic. The existing works of opinion mining used Sentiwordnet as …
Published in Journal of Advanced Database Management & Systems · Vol. 1, Issue 2, 2014 · pp. 1–7 Read article
-
NoSQL Databases- Analysis, Techniques, and Classification
Abstract: In recent years in big data and real-time web applications, NoSQL database solutions are gaining popularity in handling massive increase in size of data storage. The design of traditional relational database management systems makes it difficult for them to take advantage of virtually unlimited processing power and economical storage available via cloud computing. In contrast to this NoSQL databases support dynamic schemas, auto-sharding, automatic replication and integrated caching capabilities prominently …
Published in Journal of Advanced Database Management & Systems · Vol. 1, Issue 2, 2014 · pp. 13–24 Read article
-
Applying the XML-based Technique to Support Keyword Search in Graph Data
Abstract: Graphs have been important and proper structures to represent data with complex relationships in the Web, and keyword search provides a convenient way to querying graphs. Some researchers considered to return r-cliques as answers for keyword search in graph databases. Such concepts can retrieve meaningful information effectively, but the existing approach is computationally expensive. In this paper, we propose to utilize the efficient technique originally designed for keyword search in …
Published in Journal of Advanced Database Management & Systems · Vol. 1, Issue 2, 2014 · pp. 25–32 Read article
-
An Empirical Study on Evaluating Graph Based Clustering for HD Data Using Attribute Selection
Abstract: An attribute subset selection can be showed as a process of identifying and eliminating or removing a number of irrelevant and surplus attributes (features) because irrelevant attributes do not give predictive accuracy and the surplus attributes provide the information that is already present in the other attributes. Attribute selection involves identifying a subset of the most useful attributes that produces the similar results as the final set of results. An …
Published in Journal of Advanced Database Management & Systems · Vol. 1, Issue 2, 2014 · pp. 33–40 Read article
-
Comparison of Education in Europe on Specialty Information Technologies and Computer Science
Abstract: Europe. It is also important that the author writes about the change needed in teaching in Kazakhstan, as computer science is considered very important in today's world. This article describes the modern European education in the field of computer science in high schools considering the leading European universities (Oxford and Berlin Technical Universities) with different educations systems. Nevertheless, no matter how unique each system, there are several positive features, which …
Published in Journal of Advanced Database Management & Systems · Vol. 1, Issue 2, 2014 · pp. 8–12 Read article