DATA MINING-2020
Data mining is the process of discovering patterns in large data sets involving methods at the intersection of machine learning, statistics, and database systems
Data stream mining , as its name suggests, is connected with two basic fields of computer science, ie data mining and data streams. Data mining [1 4] is an interdisciplinary subfield of computer science whose main aim is to develop tools and methods for exploring
Data mining for energy analysis of a large data
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Data mining for energy analysis of a large data set of flats / PROCEEDINGS OF THE INSTITUTION OF CIVIL ENGINEERS. ENGINEERING SUSTAINABILITY.
Co-clustering Numerical Data under User-defined Constraints STATISTICAL ANALYSIS AND DATA MINING (2010) 3
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In the generic setting of objects attributes matrix data analysis, co-clustering appears as an interesting unsupervised data mining method. A co-clustering task provides a bi-partition made of coclusters: each co-cluster is a group of objects associated to a group of attributes Space technology has become an integral part of critical infrastructures and key elements for great power. Space telemetry data contain a wealth of information about the system behavior of artificial satellites. Recent developments in data mining techniques for anomaly Data mining and machine learning are two very active areas of research due to their importance in both theory and practical applications. New methods have been developed and traditional techniques have been enhanced in the last two decades. Accompanying
Introduction to the Minitrack on Data Analytics, Data Mining and Machine Learning for Social Media
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Transforming data from social media into useful information, or knowledge, is the focus of this minitrack. The papers at HICSS in 2020 remind our attendees and readers of the many applications of data analytics, data mining , and machine learning to social media. At the fifty
Refining Student Marks based on Enrolled Modules Assessment Methods using Data Mining Techniques
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Choosing the right and effective way to assess students is one of the most important tasks of higher education. Many studies have shown that students tend to receive higher scores during their studies when assessed by different study methodswhich include units that are
Data mining classification algorithms
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Data mining nowadays became more and more important; it is used to extract knowledge from a large amount of data to help decision makers to make good decisions. Based on the type of the data and the type of the variable we want to predict, we choose the suitable
Modeling of non technical losses in power distribution using data mining with regression techniques
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79 4.4.9 Estimation of Unmetered Utilizations 79 4.4.10 Estimation of utilizations between Meter Readings and Computations 82 4.4.11 Estimation of Technical Losses 82 4.4.12 Estimation of Recognized Issues 83 4.4.13 Other Energy Information handling Issues 83 4.5 Mitigation
Visual Preferences Assessment of Landscape Character Types Using Data Mining Methods (Apriori Algorithm): The Case of Altınsaç and Inkoy (Van/Turkey)
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Nowadays, in environmental planning and management, the approach to protect visually diverse landscapes has been an important component in planning decisions. Visual quality analysis is a method to determine the visual quality and visual preferences of the landscape
Frequent Itemset Mining for Big Data
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Traditional data mining tools, developed to extract actionable knowledge from data , demonstrated to be inadequate to process the huge amount of data produced nowadays. Even the most popular algorithms related to Frequent Itemset Mining , an exploratory data
Discovering Customer Paths from Location Data with Process Mining
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2.1 Data Preparation Because the raw data are not suitable to apply process mining , some data preparation iterations are applied. For example, each visit made by the same customer refers to a new case, Subscriber_ID is revised, including visit numbers. For instance, 1462_v1 gives
Smart Life Clinic Using Data Mining Techniques
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Data offers many facilities to the end users such as software, organization and platform go on. In this proposed system, we study about the wisely mining knowledge of social media. Social media becomes much popular from the health care information and Biomedical. This
Various Aspects of Privacy Preserving Data Mining : A Comparative Study
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Privacy-preserving data – mining works with concealing a persons privacy without losing the capacity of using the data . This approach has now become one of the very significant domain of research, though it is in its inception stage. Various approaches like secured sum
Interpretation of Data mining Algorithms on Healthcare Decision Support System
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Dynamic Data mining innovation gives a client situated way to deal with the novel and shrouded designs in the information or data . Profitable information can be found from use of data mining methods in medicinal services framework. Information mining in clinical drug
Splines in statistics Data Mining Course
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On each Qi we impose the following conditions: 1. Qi (xi)= yi for i= 0,, n− 2. Qi (xi+ 1)= yi+ 1 for i= 0,, n− 3. Q/i (xi)= Q/i+ 1 (xi) for i= 0,, n− 2. First two yields n equations and the last gives n− which sums to 2n+ n− 1= 3n− 1. Since we have 3n unknowns, to achieve a
Data Mining Machine Learning Algorithms for Air Pollutant Prediction
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Air pollution can be defined as existence or initiation of a liquid, solid, and gases in the environment which have noxious effects on human healths and animals and environment. Now a days fresh air of environment is getting polluted due to harmful substances like
Factors Affecting Slope Reinforcement Based on Data Mining Algorithm
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To change the design complexity of the conventional pile anchored bolt retaining wall, a method based on genetic algorithm was proposed to optimize the design of the retaining wall of the soil slope. According to the basic principle of genetic algorithm, a mathematical
Investigating the social aging process using data mining techniques
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One of the problems that todays societies face is the phenomenon of social aging. The history of social aging returned to the first world war and there are many factors contributing to it. However, aging is an inevitable and a normal routine, but, a variety of causes, including