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795 articles for “Data Types”
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Assess the Complaint Handling and Service Recovery Practices in Hotels: The Case of Debark Town, Ethiopia
Abstract: This study aims to assess the complaint-handling and service recovery practices of hotels in Debark town. The service sector is an important component worldwide, encompassing transportation, communication, the hotel industry, tourism, etc. The target group for this study consisted of patrons, staff, and managers of the Simien National Park Hotel. Data were collected using a non-probability sampling technique, specifically convenience sampling for customers. The researcher selected a sample of 81 …
Published in International Journal of Sustainability · Vol. 2, Issue 2, 2025 · pp. 7–12 Read article
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Modeling and Optimization of Continuous Gas Lift Performance in Libya Oil Field
Abstract: With a massive number of oil and gas field becoming mature, the upstream engineering is facing new challenge. How to develop , or at least steady production while keeping obtainable reserves at their existing level, As matter of fact unstable production in gas lift wells. The Key issues most operators encounter with oil fields are the effects of high water production that may lead to wells died and decrease in …
Published in Journal of Petroleum Engineering & Technology · Vol. 8, Issue 3, 2018 · pp. 40–48 Read article
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The DVB-H Standard: Comparative Analysis of The Results Obtained for Various Modulation techniques and Different Code Rates
Abstract: DVB-H happens to be the technical specification for the transmission of digital TV to mobile telephones and PDAs - handheld receivers. Published as a formal standard DVB-H is a physical layer specification designed to facilitate the efficient delivery of IP-encapsulated data over terrestrial networks. The creation of DVB-H, which is closely related to DVB-T, also entailed modifications of some other DVB standards dealing with data broadcasting, service Information, etc. It …
Published in Recent Trends in Electronics Communication Systems · Vol. 8, Issue 1, 2021 · pp. 8–18 Read article
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Supporting Search as You Type using Incremental Computation and Neighborhood Technique
Abstract: AbstractThe objective of the project is to develop the application Search-as -you-type system, used to show the results based on user query. If user enter any misspelled queries in search engine, automatically it corrects the misspelled query in search box. In the proposed system, concentrate on high performance to attain a speed of searching and showing the results very quickly and corrects the incorrect word. The performance of search is …
Published in Journal of Computer Technology & Applications · Vol. 5, Issue 1, 2014 · pp. 26–29 Read article
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Drive Cycle Database Method for Performance of Vehicles Depending on Driver Behavior, Vehicle Type and Traffic Condition
Abstract: Automobile manufacturers are looking for cheap ways to evaluate their products for specific customer needs as more demands are placed on their performance. The drive cycle is a crucial component of the vehicle development process. The driving cycle is used to understand the driving patterns of vehicles which also shows vehicle speed and road conditions by collecting data points along the way. A Global Positioning System (GPS)-based system was used …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 10, Issue 1, 2022 · pp. 20–29 Read article
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Improving DBSCAN using Parallel Computing Approaches
Abstract: AbstractData mining has become the buzz word of computational research due to its enormous economical and social significance. Clustering is subset of data mining operations and is a type of learning using observation techniques. Clustering uses on unsupervised learning model and does not require any training data to generate the clustering model. Clustering enables grouping of similar and dissimilar type of data in separate groups. DBSCAN is on emerging and …
Published in Recent Trends in Parallel Computing · Vol. 6, Issue 2, 2019 · pp. 20–26 Read article
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An Overview on Time Series Data Clustering
Abstract: This paper gives an overview on time series clustering, which is an important topic now days. Time series data is has importance because of its applications, such as financial data processing like Stock Exchange, network monitoring, web click-stream analysis, sensor data mining, marketing research, and anomaly detection. Therefore in the data mining clustering such data is an important issue. Time series data are a special type of data set and …
Published in Journal of Advanced Database Management & Systems · Vol. 1, Issue 3, 2014 · pp. 6–9 Read article
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A Review on Heart Disease Monitoring System by Using Machine Learning
Abstract: Heart disease is one of the most popular diseases which can lead to reduce the lifespan of human beings now a day. Every year 17.5 million people are get dying due to heart disease. Researchers have been using various types of data mining techniques and machine learning algorithms to help in the diagnosis of heart disease and various other type of diseases. Health care Centre collects large amount of data. …
Published in Recent Trends in Programming languages · Vol. 7, Issue 1, 2020 · pp. 1–6 Read article
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The Use Case of Relational and Non-relational Database
Abstract: The digital revolution has unleashed vast data collection by digital service providers, driving businesses to undergo digital transformation. Intelligent data integration is crucial for this transformation. A reliable database is essential for efficient data reading and writing. Each type of database suits specific use cases, such as relational databases for structured data and NoSQL databases for flexibility. Time-series databases handle time-stamped data, while graph databases manage complex relationships. In-memory databases …
Published in Journal of Advanced Database Management & Systems · Vol. 10, Issue 2, 2023 · pp. 17–22 Read article
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Design and Development of OLAP Tool for Data warehousing
Abstract: The complex information requirements and the ever-growing demand for increasingly sophisticated data analysis sparked the creation of a new type of data repository. This repository contains data in formats that facilitate data extraction, data analysis, and decision making. This data repository is known as decision support systems. The need for more intensive decision support On Line Analytical Processing (OLAP), create an advanced data analysis environment that supports decision making, business …
Published in Journal of Advanced Database Management & Systems · Vol. 5, Issue 3, 2018 · pp. 8–13 Read article
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A Review on Impact of DUE (Drug Utilization Evaluation) in Promotion of Rational Drug Prescribing in India
Abstract: In recent years drug utilization studies have become a potential tool to be used in the evaluation of health systems. On the process of drug utilization studies focus on factors related to prescribing, dispensing, administering and taking of medication, and its associated events. Drug utilization data are available from databases- computerized or otherwise. From these databases different types of information, qualitative or quantitative or referring to a particular population are …
Published in Research & Reviews: A Journal of Drug Formulation, Development and Production · Vol. 8, Issue 2, 2023 · pp. 1–12 Read article
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Presence of a Bulk Viscous Universe within f(R, T) Gravity
Abstract: This paper offers a comprehensive analysis of a bulk viscous universe in the context of f(R, T) gravity, where (R) signifies the Ricci scalar and (T) represents the trace of the energy-momentum tensor. The primary objective of our work is to get explicit solutions to the modified field equations by using a power-law scale factor representation. With this method, we have obtained functions of cosmic time and redshift for the …
Published in International Journal of Universe · Vol. 1, Issue 1, 2025 Read article
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Efficient Clustering Techniques for Data Stream Mining
Abstract: Data mining mainly works on a massive database for storing heavy amount of data. It is generally essential for extracting the meaning insights from the massive, continuously growing database. The traditional method often struggles with sheer volume and the dynamic nature of the modern data. Data stream mining allows for the real-time analysis, means insights are generated as the data arrives, and not after the long batch process. This continuous …
Published in Recent Trends in Parallel Computing · Vol. 12, Issue 2, 2025 · pp. 26–32 Read article
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Enhancing Data Security Via the Application of Back- Propagation Feed-Forward Methods in Encryption
Abstract: The computer society uses a variety of automated methods for file security and data storage. Several organisations are concerned about the information exchange via an unsecured network for a distributed architecture, such as the time-sharing and real-time system. Probably the most crucial element that contributes to effective security is cryptography. Using a constant weighted factor for boosting the factor, the study aims at extending or updating the earlier presented Artificial …
Published in Journal of Open Source Developments · Vol. 9, Issue 3, 2022 · pp. 13–17 Read article
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Big Data in Marketing
Abstract: AbstractMarketers live in a world that is creating 2.5 Exabyte of data each and every day. Marketing researchers and analysts have relied on two types of data: primary data and secondary data. Primary data is collected to answer specific research questions like “What new features do our customers want added to our product?” Data generation, storage capacity, processing power and analytical capacity increase had created a technological phenomenon named big …
Published in E-Commerce for Future & Trends · Vol. 7, Issue 3, 2020 · pp. 15–22 Read article
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Advancements in Handwriting Recognition: A Deep Learning Approach
Abstract: This article provides detailed information about handwriting text recognition. Some human characteristics are unique to the individual. Writing is one of the scientifically proven habits that is different for everyone. Handwriting Text Recognition (HTR) is responsible for identifying written characters and converting them into digital text. HTR is an intensively researched area, but improvements can still be made in accuracy and efficiency. Digitization of manuscripts is very useful in today's …
Published in International Journal of Radio Frequency Innovations · Vol. 2, Issue 1, 2024 · pp. 28–34 Read article
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A Short Survey of Data Compression Techniques for Column Oriented Databases
Abstract: AbstractColumn oriented data-stores has all values of a single column stored as a row followed by all values of the next column. Such way of storing records helps in data compression since values of the same column are of the similar type and may repeat. This paper surveys the various data compression techniques in column oriented databases. Data compression is efficiently used to save storage space and network bandwidth. It …
Published in Current Trends in Information Technology · Vol. 3, Issue 2, 2013 · pp. 1–6 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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An Alternative Robust Measure of Outlier Detection in Univariate Data Sets
Abstract: A univariate outlier is a data point that consists of an extreme value on one variable. Here we applied two types of outlier detection methods: one is graphical and another is analytical. This paper presents graphical methods for different statistical outlier detection such as scatter diagram, box plot and normal probability plot. Furthermore, the quantitative methods for outlier detection in this paper are the IQR method, SD method, Z-score method, …
Published in Research & Reviews : Journal of Statistics · Vol. 8, Issue 1, 2019 · pp. 1–11 Read article
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A Study and Report on Due (Drug Utilization Evaluation) of Cardiovascular and Endocrine Disorders/Diseases in Inpatient Units of Hospitals
Abstract: In recent years drug utilization studies have become a potential tool to be used in the evaluation of health systems. On the process of drug utilization studies focus on factors related to prescribing, dispensing, administering, and taking of medication, and its associated events. Drug utilization data are available from databases- computerized or otherwise. From these databases different types of information, qualitative or quantitative or referring to a particular population are …
Published in Trends in Drug Delivery · Vol. 8, Issue 3, 2023 · pp. 11–32 Read article