Search
41 articles for “item sets”
-
Survey on Item Set Mining Algorithms
Abstract: In this paper, we have a tendency to gift a literature survey of existing frequent item set mining algorithms. The idea of frequent item set mining is additionally mentioned briefly. The working procedure of some fashionable frequent item set mining techniques is given. Conjointly the deserves and demerits of each method are described. It’s found that the frequent item set mining remains a burning analysis topic. Cite this Article:Aakash Sahu. …
Published in Journal of Advances in Shell Programming · Vol. 2, Issue 1, 2015 · pp. 7–10 Read article
-
Enhanced Association Rule Mining Algorithm (EARMA) for Reducing Computational Time on Large Data Set
Abstract: Association rule learning is a trendy process for discovering exciting relationships between variables in big database. It is frequently used in market basket analysis field e.g. if a buyer buys onions and potatoes then he also purchases beef. But, in fact, it can be implemented in different application area where we want to determine the association among variables. The APRIORI method is definitely the trendiest. But, even with its good …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 3, Issue 2, 2016 · pp. 20–25 Read article
-
A Study of Mining High Utility Itemset
Abstract: Cost effective exploitation of a transactional database refers to the procedure of choosing the transaction sets with most cost effective features that will improve overall incomes of a company. A plethora of data mining algorithms have been recommended in the past few years to focus on mining item sets with high utility value. The word utility is about that feature of item-sets. Thus, mining algorithms tries to find out all …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 2, Issue 3, 2015 · pp. 21–25 Read article
-
Parallelizing Apriori Algorithm using Open MP
Abstract: An Association rule mining used for finding frequent item sets thus generating rules from the frequent item sets. Finding frequent itemsets is more expensive in terms of CPU power and computing resources utilization. Apriori Algorithm is used for high dimensionality on massively large data sets. Parallelism reduces the time required for serial processing. Parallel computing can be applied for mining of association rules. Parallel apriori algorithm focus on parallelizing the …
Published in Recent Trends in Parallel Computing · Vol. 1, Issue 1, 2014 · pp. 1–5 Read article
-
Web Mining Competitors Analyses for Frequent Unstructured Dataset Using Pattern Mining Utility Incremental Ranking Results Based on Query Process
Abstract: Abstract Nowadays, the mining competition in the market requires best approach fir every company to distinguish not only which companies are its primary competitors but also in whichdomains the company’s rivals compete with itself and what its competitors’ strength is in a specific competitive domain. The task ofcompetitor mining that we address in the paper includes mining all the information such as competitors, competing domains, andcompetitors’ strengthproblems which potential privacy …
Published in Journal of Web Engineering & Technology · Vol. 5, Issue 3, 2018 · pp. 38–46 Read article
-
Remote Sensing Classification Based on Improve Ant-Miner Algorithm: A Case Study of Alwar, Rajasthan, India
Abstract: Earth Observation Satellite (EOS) image itself contains image ambiguity. Various conventional methods like minimum distance to mean or maximum likelihood image clustering algorithm do not meet the accuracy that have required by user in the virtue of cost-effective land use/land cover classification. In Ant colony optimization (ACO), association rule mining is a prevalent and well researched method for discovering useful relations between variables in large databases. The proposed work presents …
Published in Journal of Geotechnical Engineering · Vol. 2, Issue 3, 2015 · pp. 1–5 Read article
-
Implementation of MRPrePost Parallel Algorithm based on Hadoop Platform for Large-Data Mining
Abstract: AbstractThe volume, velocity and variety of the data have increased several folds in the past few years. The conventional algorithms and techniques used to mine such huge data are found to be less efficient because these algorithms consider only the large threshold value due to which the number of candidates can be reduced, but this will lead mining association rules production to be inaccurate due to low utilization of data. …
Published in Recent Trends in Parallel Computing · Vol. 4, Issue 2, 2017 · pp. 10–20 Read article
-
A Comparison Between Two Association Rule Mining Techniques
Abstract: Normal 0 false false false EN-US X-NONE X-NONE Data mining requires associated items to be mined from given transactions. Association rule mining (ARM) has gained importance in view of trend-prediction and decision-making process. Mostly ARM is implemented using variants of FP tree growth techniques. This paper introduces an improved technique for ARM – Improved Relative Dotted Sequence Path (IRDSP)-based ARM. The logic justifying why this technique saves time in comparison …
Published in Current Trends in Information Technology · Vol. 1, Issue 2-3, 2011 · pp. 1–7 Read article
-
A Novel Approach for Enhancing Direct Hashing and Pruning for Association Rule Mining
Abstract: ABSTRACTData Mining has been considered as a promising field in the intersection of databases, artificial intelligence and machine learning. Association rule mining has been one of the most popular data mining subjects, which can be simply defined as finding interesting rules from large collections of data. This paper introduces an enhanced hashing approach in discovering associations for largeitemsets. The proposed hashing approach scans the entire database only once using the …
Published in Journal of Computer Technology & Applications · Vol. 3, Issue 1, 2012 · pp. 1–8 Read article
-
Relationship Between Divided Attention and Recall
Abstract: Memory and attention are considered to be important cognitive functions and depend on each other. Attention is considered to be important for recall of information; in other words, it is a pre-requisite for information to be registered in memory. A total of 45 participants were recruited for the study. Equal number of males and females were recruited. The mean age of the participants was 19.3 years. The primary and the …
Published in Research and Reviews: A Journal of Health Professions · Vol. 13, Issue 1, 2023 · pp. 11–15 Read article
-
A Study of the Effect of Educative Drug Awareness Session on the Knowledge of Young Adolescents, their Teachers and Parents
Abstract: Background: Changes in lifestyle, along with easy access to media and internet have among other factors lowered the age of exposure to drugs and alcohol among youth. Within this context, the parent teacher association of a private high school in Mumbai approached Kripa Foundation to conduct a preventative educative drug awareness session for their students (Grade 8 to 12), their teachers and parents. The session aimed to (i) increase the …
Published in Research and Reviews: A Journal of Health Professions · Vol. 7, Issue 2, 2017 · pp. 10–22 Read article
-
Test Investigation on Mechanical Properties of Palmyra Bract Fiber Composite
Abstract: AbstractBiological concerns have brought about replenished enthusiasm for regular materials regarding their mechanical applications and principal examination. Recyclability and ecological security are getting to be progressively vital to the presentation of characteristic materials and items. Petroleum based items, for example, gums in thermo set plastics are poisonous and non- biodegradable. The saps and filaments utilized as a part of green composites are biodegradable when they are dumped, disintegrated by the …
Published in Journal of Polymer & Composites · Vol. 3, Issue 1, 2015 · pp. 33–36 Read article
-
Identification of Safety Climate Factors for Major Hazardous Industries: A Study in Karnataka State, India
Abstract: AbstractMeasuring of safety climate in the industries provides state of safety level among employees of how management and workers deal with safety on a day to day basis. However, researchers have struggled over the past three decades to identify the predominant factors which influence the safety climate with an objective to establish empirical relationship between them. The safety climate questionnaire containing 81 items corresponding to 20 safety climate factors was …
Published in Journal of Industrial Safety Engineering · Vol. 5, Issue 1, 2018 · pp. 1–12 Read article
-
Sorting
Abstract: Our research paper aims at sorting. Sorting is any process of arranging items according to a certain sequence or in different sets. It is a term that is used to sort the data in ascending or descending order. In this paper, we will discuss about internal and external sorting, and also about some terminologies in this, like: insertion sort, merge sort, quick short, heap short, bubble sort, radix sort and …
Published in Recent Trends in Programming languages · Vol. 3, Issue 2, 2016 · pp. 4–6 Read article
-
Reduction of Submerged Mark Defects in Injection Molding Method
Abstract: Because of overwhelming interest in plastic items, plastic businesses are developing in a speediest rate. Plastic infusion forming starts with shape making and in assembling of complex shapes. Ideal setting up of infusion forming process factors assumes an imperative part in controlling the nature of the infusion shaped items. It is all the most critical to control property abandons like sink marks. Sink marks are fundamentally a "planned in" issue …
Published in Journal of Catalyst & Catalysis · Vol. 5, Issue 2, 2018 · pp. 15–21 Read article
-
Awareness, Behavior, and Gaps: A Survey-Based Analysis of Personal Hygiene, Home Safety, and Road Safety Practices
Abstract: Personal hygiene and public safety remain two of the most critical yet behaviorally neglected pillars of community health in India. Despite decades of national health campaigns, a persistent gap continues to exist between what people know and what they actually do — particularly among urban youth. This cross-sectional, survey-based study examined awareness levels, behavioral practices, and compliance gaps across three interconnected domains: personal hygiene, home accident prevention, and road safety, …
Published in International Journal of Behavioral Sciences · Vol. 3, Issue 1, 2026 · pp. 65–72 Read article
-
An Analysis of Graph Database in Data Modelling and Analysis for a Recommendation System
Abstract: This research work focuses on graph databases, mainly Neo4j databases, in recommendation systems for e-commerce websites. The importance of research is that it explains how graph databases efficiently handle the complex relationship between user-items, which is difficult for traditional databases. Sparsity, limited diversity, and high setup costs are the challenges traditional databases face. This research work overcomes these problems using Ne04j with Cypher query language and graph algorithms (PageRank, Shortest …
Published in Journal of Advanced Database Management & Systems · Vol. 12, Issue 3, 2025 · pp. 33–39 Read article
-
DSpace—A Base for Developing Repositories in India
Abstract: DSpace is an open source dynamic digital repository. Web- based interface makes it easy for a submitter to create an archival item by depositing files. It was designed to handle any format from simple text document to datasets and digital video. Data files also called bitstreams are organized together into related sets. Each bitstream has a technical format and other technical information. This technical information is kept with bitstreams to …
Published in Journal of Advancements in Library Sciences · Vol. 5, Issue 3, 2018 · pp. 85–92 Read article
-
Acute Toxicity and Histopathological Evaluation of Polyherbal Formulations of Annona Squamosa, Zingiber Officinalis and Triticum Aestivum in Wistar Rats
Abstract: The relationship between dose and its effects on the exposed organism is of high significance in toxic evaluation. The present study was aimed for the safety assessment of methanolic extract of Annona squamosa, Zingiber Officinalis and Triticum aestivum as polyherbal formulations at different ratios in albino Wistar rats. Sighting study was conducted in one female rat by administering 300 mg/kg body weight of polyherbal formulation through oral gavage. There were …
Published in Research & Reviews: A Journal of Drug Design & Discovery · Vol. 6, Issue 3, 2019 · pp. 1–7 Read article
-
A Novel Clustering Techniques Evaluation using Monte Carlo Simulation
Abstract: In Machine Learning clustering is one the most significant method. Today, we have data in rich from many sources but in order to get meaningful information from it is very boring task. Machine learning clustering algorithms to create cluster to decode the meaningful information from the data, this analysis approach has gained much popularity in recent years. This paper explores evaluation performance of frequently used existing clustering techniques such as …
Published in Research & Reviews : Journal of Statistics · Vol. 10, Issue 3, 2021 · pp. 1–23 Read article