About Us

MINEVIK Machinery is a leading and pioneering enterprise with the most advanced international level in R&D, manufacturing and selling of large-scale crushing & screening plants and beneficiation plants.

large-scale crushing & screening plants and beneficiation plants.

All of our equipment have got ISO international quality system certification, European Union CE certification and Russian GOST certification.

  • In central China-Zhengzhou, covering 140 thousand square meters
  • Win-win cooperation and create more value to customers
  • Exported large quantities and high-end mobile crushing plant and milling equipments to Russia, Kazakhstan, Indonesia, Ecuador, South Africa, Nigeria, Turkey more than 100 countries .

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Our Products

AS a leading global manufacturer of crushing and milling equipment, we offer including quarry, aggregate, grinding production and complete stone crushing plant. We also supply individual crushers and mills as well as spare parts of them.

Services

Our goal is to guarantee the excellent operation equipment with high safety for our customers and minimize the downtime of the machine by predictive maintenance. Kefid service and original accessories can be 100% trusted at the time of maintenance.

SERVICE AND SUPPORT

Minevik service and original accessories can be 100% trusted at the time of maintenance.

ACCESSORIES CENTER

striving to enable customers to get the parts in the nearest place.

SALES MARKET

Our sales market is spread all over more than 100 countries and regions

latest research on mining machine in mining

What are some good research topics in data mining? Quora

Feb 01, 2019· As this question being asked so many times, let me discuss in detail. As per me Data mining is field which is being applied in all domains now a day. * Signal processing * Social media analytics * Medical science * Government domain * Finance...

Thesis and Research Topics in Data Mining | Thesis in Data

May 28, 2019· Data Mining is an important process that deals in analyzing and processing of data generated from different sources. There are various hot topics in data mining for research. Click this link to find out the latest thesis topics in data mining.

Data Mining: Research Trends, Challenges, and Applications

Data mining is an interdisciplinary research area spanning severals disciplines such as database systems, machine learning, intelligent information systems, statistics, and expert systems.

Latest Research Topics in Data Mining | S-Logix

Data mining is still gaining momentum and the players are rapidly changing. Data mining is an evolving field, with great variety in terminology and methodology. Data mining is one of the most interesting project domains of S-LOGIX which will help the students in getting an efficient aerial view of this domain to put it into an effective project.

Mining Equipment Market, Construction Machinery Industry

The Global Mining Equipment Market 2014-2018 research report segments the industry into three by applications, namely, Metal mining, Coal Mining and Mineral Mining. Mining equipment is used to

A survey of educational data -mining research

is necessary because data mining employs statistics, machine learning, and artificial intelligence techniques. Many of the studies presented in this literature review are case studies where data mining projects were done at a specific institution, with Research in Higher Education Journal Educational data-mining research, Page

What are hot research topics in data mining in 2017? Quora

Oct 17, 2018· 1. An Expert Clinical Decision Support System to Predict Disease Using Classification Techniques, 2017, IEEE, Medical Data Mining 2. Chronic Kidney Disease Prediction on Imbalanced Data by Multilayer Perceptron, 2017, IEEE, Medical Data Mining 3.

Latest Data Mining Projects Topics & Ideas | Nevonprojects

Get ieee based as well as non ieee based projects on data mining for educational needs. Nevonprojects has a directory of latest and innovative data mining project ideas for students and researchers. We provide data mining projects with source code for studies and research.

10 CHALLENGING PROBLEMS IN DATA MINING RESEARCH

In October 2005, we took an initiative to identify 10 challenging problems in data mining research, by consulting some of the most active researchers in data mining and machine learningfor their opinions on what are considered important and worthy topics forfuture research in data mining. We hope their insights will inspire new research

Mining Equipment Market, Construction Machinery Industry

The Global Mining Equipment Market 2014-2018 research report segments the industry into three by applications, namely, Metal mining, Coal Mining and Mineral Mining. Mining equipment is used to

What are hot research topics in data mining in 2017? Quora

Oct 17, 2018· 1. An Expert Clinical Decision Support System to Predict Disease Using Classification Techniques, 2017, IEEE, Medical Data Mining 2. Chronic Kidney Disease Prediction on Imbalanced Data by Multilayer Perceptron, 2017, IEEE, Medical Data Mining 3.

A survey of educational data -mining research

is necessary because data mining employs statistics, machine learning, and artificial intelligence techniques. Many of the studies presented in this literature review are case studies where data mining projects were done at a specific institution, with Research in Higher Education Journal Educational data-mining research, Page

According to New Research Report for Global Coal Mining

Sep 26, 2019· Worldwide market reports announced New Strategic Research on “Global Coal Mining Machines Market 2019 has been rising up and influencing the international economy in terms of revenue, market share and size, growth rate and sales”

Developing innovative applications in agriculture using

The WEKA1 research team has two objectives: to mine information from existing agricultural datasets produced by New Zealand scientists and research organizations; and to perform basic research in data mining by developing new machine learning algorithms. To support these goals, we have developed a data mining workbench, the WEKA system,

Master Thesis and Research Topics in Machine Learning

May 28, 2019· Sentiment Analysis is also known as opinion mining and is a process to determine whether the attitude of an individual towards a product or topic is positive, negative 0r neutral expressed in the form of text. It is another good research topic in machine learning for thesis and research. It uses the concept of natural language processing

AI in Mining – Mineral Exploration, Autonomous Drills, and

Applying artificial intelligence and machine learning to the task of mineral prospecting and exploration is a very new phenomenon, which is gaining interest in the industry. At the 2017 Disrupt Mining event in Toronto, Canada, two of the five finalists were companies focused on using machine learning in mining: Kore Geosystems and Goldspot

(PDF) Rise of Data Mining: Current and Future Application

Advancements in Statistics, Machine Learning, Artificial refers to application of algorithms for extracting patterns from Intelligence, Pattern recognition and Computation capabilities have given present day’s data mining functionality a new height.

Mining Technology | Mining News and Views Updated Daily

Mining news and in-depth feature articles on the latest mining company deals and projects covering trends in mineral exploration with up to date data on the most mined metal and mineral commodities

Machine learning, data mining and rethinking knowledge at

Sep 06, 2018· KDD 2018, the 24th ACM Conference on Knowledge Discovery and Data Mining took place in London, United Kingdom on August 19-23 in the heart of London’s historic Royal Docks. KDD is one of the top conferences in the machine learning and data mining domain, bringing together researchers and practitioners across computer science and all verticals.

Machine learning, data mining and rethinking knowledge at

Sep 06, 2018· KDD 2018, the 24th ACM Conference on Knowledge Discovery and Data Mining took place in London, United Kingdom on August 19-23 in the heart of London’s historic Royal Docks. KDD is one of the top conferences in the machine learning and data mining domain, bringing together researchers and practitioners across computer science and all verticals.

Data Mining Research: Opportunities and Challenges

mining is human centered and is sometimes coupled with human-computer interfaces research. Data mining is a step in the data mining process, which is an interactive, semi-automated process which begins with raw data. Results of the data mining process may be insights, rules, or predictive models.

DATA MINING IEEE PAPER 2018

A New Concept to Calibrate and Evaluate a Hydrological Model Based on Functional Data Analysis making educational data mining a novel emerging field of research. Educational data mining (EDM) is an attractive interdisciplinary research domain that deals with the Data Mining and Machine

Selected Data Mining Papers

Data Mining and Machine Learning Papers. Below are select papers on a variety of topics. The list is not meant to be exhaustive. The papers found on this page either relate to my research interests of are used when I teach courses on machine learning or data mining.

Data Mining Projects, Final Year Projects in Data Mining

Data mining is mining knowledge from data, Involving methods at the intersection of machine learning, statistics, and database systems. Its the powerful new technology with great potential to help companies focus on the most important information in their data warehouses.

Data mining Wikipedia

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 mining is an interdisciplinary subfield of computer science and statistics with an overall goal to extract information (with intelligent methods) from a data set and transform the information into a comprehensible structure for

Topics in Machine Learning Research E2MATRIX RESEARCH LAB

Mar 22, 2019· Data mining is an interdisciplinary subfield of computer science It is the computational process of discovering patterns in large data sets involving methods at the intersection of artificial intelligence, machine learning, statistics, and database systems. The overall goal of the data mining process is to extract information from a data set and transform it into an understandable structure

Top 20 Recent Research Papers on Machine Learning and Deep

Machine learning and Deep Learning research advances are transforming our technology. Here are the 20 most important (most-cited) scientific papers that have been published since 2014, starting with "Dropout: a simple way to prevent neural networks from overfitting".

A Beginner's Guide to Cryptocoin Mining: What You Need to

Mining cryptocoins is an arms race that rewards early adopters. You might have heard of Bitcoin, the first decentralized cryptocurrency that was released in early 2009. Similar digital currencies have crept into the worldwide market since then, including a spin-off from Bitcoin called Bitcoin Cash.You can get in on the cryptocurrency rush if you take the time to learn the basics properly.

Research Leaders on Data Mining, Data Science, and Big

I feel one of the key research issues for data science is how to make use of the big data in a novel way to go beyond what data mining researchers have done using a large amount of data in the past (e.g., scaling-up machine learning and data mining algorithms and data stream mining).

Transforming Mining Breakthrough Innovation & Technology

Aug 12, 2019· Transforming Mining. Mining3 is a world-leading research organisation directed by the global mining industry to develop and deliver transformational technology to improve the productivity, sustainability, and safety of the mining industry.

12 technologies set to transform mining Australian Mining

Jul 11, 2013· 12 technologies set to transform mining. “This machine is a Australian Mining continues to lead and inform the Australian mining industry of the latest innovations in mining

Ten technologies with the power to transform mining

Apr 10, 2014· Mining is being increasingly carried out underground as open pits near the end of their mining life and new ore bodies are increasingly being identified deep underground. Constructing underground mines with the use of conventional shaft and tunnel boring machines, however, has proved to be technically challenging, expensive and sluggish.

PhD Research topic in data mining PHD Projects

PHD RESEARCH TOPIC IN DATA MINING . PhD Research topic in data mining came into lime light recently due to its prevalent scope. Mine, the word refers to extraction of something. Data Mining involves mining of information from the database and transforming it into more understandable structure.

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