Dec'18


The IUP Journal of Information Technology

ISSN: 0973-2896

A 'peer reviewed' journal indexed on Cabell's Directory, and also distributed by EBSCO and Proquest Database

It is a quarterly journal that publishes research papers on emerging tools, technologies and paradigms relating to various aspects of IT; Programming and Testing tools; Multimedia tools; Image processing and Communication; Neural networks; Big Data, Data Science; Data Analytics; Cognitive Technologies, Artificial Intelligence, Cloud Computing and Edge Computing; E-Commerce; Cyber Security; 5G Technology, Mobile Applications etc.

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Focus Areas
  • Database Systems
  • Programming Languages
  • Software Engineering and Project Management
  • Web Technologies
  • Mobile Computing
  • Network and Distributed Computing
  • Computer Security
  • Intelligent Systems
CheckOut
Article   Price (₹) Buy
Reflecting Design Considerations: An End-to-End Case Study on Preparing Cricket Data Available on Net Analysis Ready
50
Parsing Set of Queries to Obtain Parse Matrix for Table Index Evaluator and Recommender
50
A Survey of Different Opinion Mining Methods
50
     
Contents : (Dec'2018)

Reflecting Design Considerations: An End-to-End Case Study on Preparing Cricket Data Available on Net Analysis Ready
Subhasis Ray and Kalyan Sengupta

The use of Internet as a source of secondary data is becoming more popular day by day. Websites are made up of webpages that contain a huge volume of useful information in textual form. However, webpages are coded using text-based mark-up languages (e.g., HTML, XHTML, XML, etc.) to facilitate end-user viewing rather than any automated use of them. This has led to a new science called web scraping that fetches webpages and then extracts data for future use. Many organizations have picked up this business opportunity to come up with efficient web scraping tools. The paper exposes the readers to how data can be sourced from the internet for scientific or commercial purpose. This elaborates on the available design options for data fetching, extracting, validating and transforming in the absence of any end-to-end tool or to supplement a tool. This is followed up by a specific case study which deals with reactive analysis of structured data from multiple predetermined sources/pages. This paper concludes that design considerations for web scraping have to be dynamic. Neither traditional copy-and-paste nor trapping feeds using Application Programming Interfaces (API) nor Java, Python or R programming nor the end-to-end tool available is uniformly better than the rest.


© 2018 IUP. All Rights Reserved.

Article Price : 50

Parsing Set of Queries to Obtain Parse Matrix for Table Index Evaluator and Recommender
Shefali Naik

The use of appropriate indexing improves the performance of transactions in heterogeneous distributed database, whereas inappropriate or no indexing deteriorates the same. Properly designed index leads to faster data access, which ultimately improves the execution of transactions. Various Relational Database Management Systems (RDBMS) and third-party tools exist, which provide suggestion for index management, but up to certain limits. These tools provide index suggestion with limited and simple queries. They do not analyze or suggest index for aggregate queries, sub-queries and other complicated queries. The applications which access data from heterogeneous databases need an index evaluator and recommender to analyze and recommend indexes for tables. For this type of multiple heterogeneous distributed databases, Table Index Evaluator and Recommender (TIER) is proposed which takes set of queries as inputs. Queries in the set are based on local and remote tables (tables which are distributed on various RDBMS). In order to recommend indexes, the fields which are mentioned in WHERE and HAVING clauses of inputted set of queries should be parsed. Besides this, the total frequency of each field table-wise and overall is required. The parsed fields with frequency result in Parse Matrix (PM) and the obtained PM is used by TIER for further processing. In this paper, the algorithm to obtain Clause Matrix (CM) and PM is described.


© 2018 IUP. All Rights Reserved.

Article Price : 50

A Survey of Different Opinion Mining Methods
Shubhashree Acharya and Navjyotsinh Jadeja

The paper focuses on the utilization of sentiment analysis techniques in various application domains and presents the major part of the work done in the field of sentiment mining or opinion mining using the techniques and tools of sentiment analysis. The paper gives a brief idea regarding the comparison of the techniques and the importance of the dataset in acquiring the desired outcomes.


© 2018 IUP. All Rights Reserved.

Article Price : 50

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