data mining
29 articles · search the full text for this term
-
Emotion mining using Unsupervised Learning
Abstract: Social networks are considered as the most abundant sources of affective information for Sentiment and Emotion Classification. Emotion Classification is the challenging task of classifying emotions into different types. Emotion is a mental state observed by behavioral or developmental changes. Emotions being universal, the automatic exploration of emotion is considered as the difficult task to be performed. A lot of the research is being conducted in the field of automatic …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 5, Issue 3, 2018 · pp. 24–34 Read article
-
Improving Software Cost Estimation Process through Classifcation Data Mining Algorithms using WEKA Tool
Abstract: Today, the Software Cost Estimation (SCE) is one of the hot research areas among the researchers. Cost estimation is a method of the achievable cost of a product, thing, program, or an undertaking, enrolled in light of available information. It attempts to data predict good results to combined both of the field software engineering and data mining in this work. It generates the accurate cost of the projects with the …
Published in Journal of Communication Engineering & Systems · Vol. 8, Issue 2, 2018 · pp. 24–33 Read article
-
Geographical Knowledge report on Agriculture by Spatial Data Mining
Abstract: Spatial Data Mining is nothing but the integration of Geographical Information System and Data Mining. The main objective of the present study i.e., Spatial Data Mining for Agriculture is to find or identify the potentially useful and ultimately understandable patterns in data which will be visualized on the map. Data Mining Algorithms such as clustering, classification, and association rules etc are applied for the Past and Future trends visualization for …
Published in Journal of Advanced Database Management & Systems · Vol. 5, Issue 1, 2018 · pp. 8–19 Read article
-
Survey on Intrusion Detection Using Data Mining Methods
Abstract: The present emerging information growth has made numerous challenges in the data mining. Data mining is the procedure of removing valid, before known, and comprehensive data sets for the future decision making. With the better technology through WWW, the streaming information comes into the picture with its challenges. The data, which alters with time and updates its value, is known as streaming information. As most of the data is streaming …
Published in Journal of Advanced Database Management & Systems · Vol. 3, Issue 2, 2016 · pp. 33–43 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 Survey on Multiobjective Decision Making on Vague Sets
Abstract: This paper provides report of a survey on the vague sets and also multiobjective decision making. As a further fuzzy set theory generalization, the vague set theory can overcome the fuzzy set shortcomings through defining the membership from two different sides of both FALSE and TRUE, rather than only through a value of a single membership. MCDM approach has evolved to accommodate numerous application types. Methods dozens have been developed, …
Published in Journal of Advanced Database Management & Systems · Vol. 3, Issue 1, 2016 · pp. 1–8 Read article
-
Cloud Computing and Storage Issues
Abstract: This paper talks over security issues for cloud computing & presents a layered framework for secure clouds and then focus on layers, i.e., the storage layer & the data layer. Cloud computing is a set of IT facilities that are as long as to a customer over a network on adhoc basis and with the ability to scale up or down their service requirements. Generally cloud computing services are distributed …
Published in Recent Trends in Programming languages · Vol. 1, Issue 2, 2014 · pp. 20–26 Read article
-
Comparative Study of Data Mining Tools
Abstract: Data mining is a process which finds useful patterns from large amount of data for an appropriate application. It is a well-built technology with great potential to help companies whose focus is on important information in huge databases. It uses machine learning, statistical and visualization technique to discover and predict knowledge in a form which is easily understandable to the user. Classification is important technique of data mining which employs …
Published in Journal of Advanced Database Management & Systems · Vol. 2, Issue 2, 2015 · pp. 35–41 Read article
-
A Survey on Weather Forecasting and the Proposed Approach
Abstract: Normal 0 MicrosoftInternetExplorer4 Accurate weather forecasting has been one of the most challenging problems around the world. The technical milestones that have been achieved by the researchers in this field have been reviewed and presented in this survey paper. Since the past decades, various models have been developed for weather forecasting using artificial neural network, data mining and by using soft computing, which are discussed in this paper. This paper …
Published in Journal of Remote Sensing & GIS · Vol. 3, Issue 3, 2012 · pp. 17–21 Read article