application of computer in mining development of a

Applications of Data Mining - GeeksforGeeks

So, let's discuss different applications of Data Mining: Scientific Analysis: Scientific simulations are generating bulks of data every day. This includes data collected from nuclear laboratories, data about human psychology, etc. Data mining techniques are capable of the analysis of these data.

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Computer Applications in Agricultural Research

The computer, programmed to mimic the thought processes of experts, provides the decision-maker with suggestions as to the best choice of action for a particular problem situation. The hope is that we can design computers (information systems) that extend our ability to think, learn, and act as an expert.

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Quantum Software Development Kits in 2022 - AIMultiple

Quantum Software Development Kit is a tool for developing quantum algorithms that can be used in quantum computers or simulators and emulators. A quantum simulator is an implementation of quantum gates by using classical gates. For example, Intel provides a Quantum Simulator that can simulate general quantum gates in order to test their ...

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How digital innovation can improve mining productivity

Their applications include building a more comprehensive understanding of the resource base, optimizing material and equipment flow, improving anticipation of failures, increasing mechanization through automation, and monitoring performance in real time.

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Applications and Trends in Data Mining | Oriental Journal of Computer ...

The retail industry is a major application area for data mining, since it collects huge amounts of data on sales, customer shopping history, goods transportation, consumption, and service. Retail data mining can help to: Identify buying patterns from customers Discovers customer shopping patterns and trends

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Data Mining - Definition, Applications, and Techniques

Applications Data mining offers many applications in business. For example, the establishment of proper data (mining) processes can help a company to decrease its costs, increase revenues, or derive insights from the behavior and practices of its customers. Certainly, it plays a vital role in the business decision-making process nowadays.

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Application of Data Mining Algorithms for Measuring Performance Impact ...

Application of Data Mining Algorithms for Measuring Performance Impact of Social Development Activities Hakikur Rahman (Sustainable Development Networking Foundation, Bangladesh) Source Title: Data Mining Applications for Empowering Knowledge Societies Copyright: © 2009 | Pages: 24 DOI: 10.4018/978-1-59904-657-.ch008 OnDemand PDF Download:

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Master's in Mineral Resources and Sustainable Mining

An exciting opportunity to study Mineral Resources and Sustainable Mining as a two-year master's programme in an excellent infrastructure and close connection to the mining industry. Programme is one of the few programmes in the world to cover the whole mining value chain from exploration to mining, concentration, refining and closure.

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An International Journal EXPERT SYSTEMS WITH APPLICATIONS - Elsevier

mining, multimedia mining, and genetic algorithms will also be published in the journal. Reproducibility Badge Initiative and Software Publication Reproducibility Badge Initiative (RBI) is a collaboration with Code Ocean (CO), a cloud based computational reproducibility platform that helps the community by enabling sharing of code and

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Drones in mining - What are the benefits and for which applications ...

Namely, drones in mining improve the overall efficiency of large mine site and quarry management by providing accurate and comprehensive data detailing site conditions in a very short time. They also support better coordination among teams onsite and internationally, offering dynamic oversight of all operations.

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Role of ICT in Agriculture: Policy Implications

It is a comprehensive web portal to broadcast relevant information to farmers, which was initiated and funded by the Ministry of Agriculture, Government of India. The AGRISNET serves farming community by disseminating information and providing services through use of Information & Communication Technology (ICT). It has following goals-

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FPGA Mining: How Field Programmable Gate Arrays Work - Master The Crypto

FPGA mining in the cryptocurrency world is a new emerging trend set to change the way blockchain-based coins and tokens are mined due to being very efficient in comparison to GPU and CPU mining performances. FPGA, or a Field Programmable Gate Array, is a unique integrated type of a blank digital circuit used in various types of technology and ...

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Data Mining Applications in Healthcare Sector: A Study

The goal of data mining application is to turn that data are facts, numbers, or text which can be processed by a computer into knowledge or information. The main purpose of data mining application in healthcare systems is to develop an automated tool for identifying and disseminating relevant healthcare information.

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What is 'Data Mining' - The Economic Times

As an application of data mining, businesses can learn more about their customers and develop more effective strategies related to various business functions and in turn leverage resources in a more optimal and insightful manner. This helps businesses be closer to their objective and make better decisions.

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Trends in Modern Mining Technology - Anglo American plc

Here are some of the mining industry's latest technological innovations: 1. Spatial data visualisation. Mining is experiencing an exciting shift, thanks to spatial (or geospatial) data. Spatial data is becoming more detailed and clearer than ever: Three-dimensional (3D) Modelling creates a viewable, life-like impression with depth perception ...

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Apriori Algorithm in Data Mining with examples | T4Tutorials

Example of Apriori Algorithm. Let's see an example of the Apriori Algorithm. Minimum Support: 2. Step 1: Data in the database. Step 2: Calculate the support/frequency of all items. Step 3: Discard the items with minimum support less than 2. Step 4: Combine two items. Step 5: Calculate the support/frequency of all items.

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Computer Science < The George Washington University

Apply mathematical foundations, algorithmic principles, and computer science theory in the modeling and design of computer-based systems in a way that demonstrates comprehension of the trade-offs involved in design choices; and Apply design and development principles in the construction of software systems of varying complexity. Bachelor's programs

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Data Mining Examples: Most Common Applications of Data Mining 2022

Aug 7, 2022Applications Of Data Mining In Marketing. #1) Forecasting Market. #2) Anomaly Detection. #3) System Security. Examples Of Data Mining Applications In Healthcare. #1) Healthcare Management. #2) Effective Treatments. #3) Fraudulent And Abusive Data. Data Mining And Recommender Systems.

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Development of a computer program for underground mine stope ...

Riddle, JM 1977, 'A dynamic programming solution of a block-caving mine layout', Proceedings of the 14th International Symposium on Application of Computers and Operations Research in the Minerals Industries, Society for Mining, Metallurgy and Exploration, New York, pp. 767-780.

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‪Lukas‬ - ‪Google Scholar‬

Lukas. Associate Professor of Electrical Engineering, Universitas Katolik Indonesia Atma Jaya. Verified email at atmajaya.ac.id - Homepage. Artificial Intelligence Computer Security Natural Language Processing Biomedical Engineering.

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What Is Data Mining? A Complete Guide | Simplilearn

Data Mining Applications. Data mining is a useful and versatile tool for today's competitive businesses. Here are some data mining examples, showing a broad range of applications. Banks. Data mining helps banks work with credit ratings and anti-fraud systems, analyzing customer financial data, purchasing transactions, and card transactions.

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Top Computer Vision Applications in Different Industries in 2021 - ITRex

May 26, 2021Computer vision (CV) is a subset of AI that enables systems to interpret information from digital images and react to it with action or recommendations. The goal of computer vision technology is to emulate human vision for performing monotonous or complex visual tasks faster and even more efficiently. Historically, computer vision started with applications that were able to accomplish limited ...

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Text mining and semantics: a systematic mapping study

As text semantics has an important role in text meaning, the term semantics has been seen in a vast sort of text mining studies. However, there is a lack of studies that integrate the different research branches and summarize the developed works. This paper reports a systematic mapping about semantics-concerned text mining studies. This systematic mapping study followed a well-defined protocol.

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201 Best Computer Science Topics for 2022 | Writing Ideas - AssignmentGeek

Yes, there is such a thing as computer ethics. In fact, the subject is pretty vast, so you have plenty of computer ethics topics to choose from: Ethic problems with data mining Machine learning issues Internet of Things controversies AI security concerns Image processing and privacy concerns Quantum computing ethic problems

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21 Best Data Mining Project Ideas for Computer Science Students

Data mining is a tool that is used for knowledge mining from a large set of data. With the help of data mining, we can retrieve valuable information from a huge amount of data and make the data usable for analytical purposes, business use, etc. Data Mining Applications Data Mining in Medical Science

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Course Listing - Computer Science - Trent University

Data mining is the extraction of previously unknown and potentially useful patterns from large data sets. Core topics include the statistical foundations of data mining, sampling mechanisms, missing data, clustering, classification, and outlier detection. Case studies cover a wide variety of applications such as astronomy and marketing.

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Graph Neural Network and Some of GNN Applications ... - Neptune.ai

The recent success of neural networks has boosted research on pattern recognition and data mining. Machine learning tasks, like object detection, machine translation, and speech recognition, have been given new life with end-to-end deep learning paradigms like CNN, RNN, or autoencoders. Deep Learning is good at capturing hidden patterns of Euclidean data (images, text, videos). [.]

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Academic Departments | PNG University of Technology

The aim is to produce graduates in Computer Science, of a high standard and comparable with similar graduates from other Universities in the Pacific Region, and who can provide the development, critical evaluation and application in their field for Papua New Guinea and the Pacific. Department of Mechanical Engineering

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Top 15 Applications of Embedded Systems, Embedded System Application

13. Signal Systems. Signaling systems use embedded technology, which ensures your safety during your journey. 14. Automobiles Sector. Nowadays, modern cars have a variety of embedded systems that perform a variety of activities based on their uses in the vehicle. 15.

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Best Master's in Data Science Programs for 2021 - DiscoverDataScience

The Master's Degree Program in Computer Science at Fitchburg builds skills for a career in the high-technology marketplace. Students study managing data, mining data, integrating, and analyzing big data across various fields of business, medicine, bioinformatics, government, education, marketing, security, and financial management.

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Data Mining - University of Texas at Austin

Data mining, or knowledge discovery, is the computer-assisted process of digging through and analyzing enormous sets of data and then extracting the meaning of the data. Data mining tools predict behaviors and future trends, allowing businesses to make proactive, knowledge-driven decisions.

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Development and Application Research of Big Data Mining Technology ...

With the continuous development of the society, there are a lot of data information in various industries need statistical research. By using computer technology, a large number of data can be mined and developed effectively. This paper firstly explains the important role of computer software technology in the era of big data and its development in China. At the same time, it studies the ...

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Text Mining: Techniques, Applications and Issues

in text mining applications and techniques. They discussed that dealing with unstructured text is difﬁcult as compared to structured or tabular data using traditional mining tools and techniques. They have shown the applications of text mining process in bioinformatics, business intelligence and national security system. Natural language ...

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15 Digital Twin Applications/ Use Cases by Industry in 2022 - AIMultiple

Digital twin applications in manufacturing are as follows: Product development Digital twins can help engineers test the feasibility of upcoming products before launching. According to the test results, engineers start producing or shift their focus to creating a feasible product. Design customization

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Data Mining Techniques and Applications - Ijcse

Department of Computer Application, Yamunanagar, Nigdi Pune, Maharashtra, India-411044. Abstract Data mining is a process which finds useful patterns from large amount of data. The paper discusses few of the data mining ... Overview of Data Mining The development of Information Technology has generated large amount of databases and huge data in

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10 Practical Text Mining Examples to Leverage Right Now

The following 10 text mining examples demonstrate how practical application of unstructured data management techniques can impact not only your organizational processes, but also your competitive standing. Risk Management. No matter the industry, insufficient risk analysis is often a leading cause of failure.

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Computer Software in Statistical Analysis: Role & Examples

This is a general statistical software package that can be used for data mining and data management. • CBEcon. This package is web-based and helps with econometrics, which refers to the analysis of...

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Data Mining Applications and Use Cases - DataFlair

Following are the applications of data mining in the field of Scientific Applications - Data Warehouses and data preprocessing. Graph-based mining. Visualization and domain-specific knowledge. So, this was all about Data Mining Applications & Use Cases. Hope you like our explanation. Conclusion As a result, we have studied Data Mining Applications.

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Data Mining Applications and Use Cases - DataFlair

Data Mining Applications & Use Cases. Following are the applications of data mining in various sectors: a. Data Mining in Finance. We have to Increase customer loyalty by collecting and analyzing customer behavior data. Also, one needs to help banks that predict customer behavior and launch relevant services and products.

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Talend | What is Data Mining? Definition and Examples

Data mining is used in many areas of business and research, including sales and marketing, product development, healthcare, and education. When used correctly, data mining can give you an advantage over competitors by making it possible to learn more about customers, develop effective marketing strategies, increase revenue, and decrease costs.

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