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 .

Ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum

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

a breakdown of data mining

[randpic]

Data Mining: How Companies Use Data to Find Useful

Sep 20, 2020· Data mining is a process used by companies to turn raw data into useful information by using software to look for patterns in large batches of data. Demographic analysis is the study of a

More
[randpic]

Data Mining an overview | ScienceDirect Topics

Is Data Mining Evil? Further confounding the question of whether to acquire data mining technology is the heated debate regarding not only its value in the public safety community but also whether data mining reflects an ethical, or even legal, approach to the analysis of crime and intelligence data. The discipline of data mining came under fire in the Data Mining Moratorium Act of 2003.

More
[randpic]

Data Mining an overview | ScienceDirect Topics

Is Data Mining Evil? Further confounding the question of whether to acquire data mining technology is the heated debate regarding not only its value in the public safety community but also whether data mining reflects an ethical, or even legal, approach to the analysis of crime and intelligence data. The discipline of data mining came under fire in the Data Mining

More
[randpic]

Most Common Examples of Data Mining | upGrad blog

Mar 29, 2018· Using mining and analysis of this data, the service providers assign a probability score to each customer. This probability score is a reflection of how likely you are of switching the vendors.

More
[randpic]

What Is Data Mining and How Can it Help Your Business?

Jan 31, 2020· Distributed data mining: As data is stored in multiple locations and devices, sophisticated algorithms are being developed and used to mine data from these locations and generate reports. Geographic and spatial data mining : This type of data mining extracts geographic, environment, and astronomical data

More
[randpic]

Data Mining for Big Data dummies

Data mining involves exploring and analyzing large amounts of data to find patterns for big data. The techniques came out of the fields of statistics and artificial intelligence (AI), with a bit of database management thrown into the mix. Generally, the goal of the data mining

More
[randpic]

Data Mining vs Data Analysis | Know Top 7 Amazing Comparisons

Data Mining – Data mining is a systematic and sequential process of identifying and discovering hidden patterns and information in a large dataset. It is also known as Knowledge Discovery in Databases. It has been a buzz word since 1990’s. Data Analysis – Data Analysis, on the other hand, is a superset of Data Mining

More
[randpic]

The 7 Most Important Data Mining Techniques Data Science

Dec 22, 2017· Data mining is the process of looking at large banks of information to generate new information. Intuitively, you might think that data “mining” refers to the extraction of new data, but this isn’t the case; instead, data mining is about extrapolating patterns and new knowledge from the data

More
[randpic]

What is Data Mining? Definition and Examples

A typical data mining project starts with asking the right business question, collecting the right data to answer it, and preparing the data for analysis. Success in the later phases is dependent on what

More
[randpic]

Data Mining an overview | ScienceDirect Topics

Is Data Mining Evil? Further confounding the question of whether to acquire data mining technology is the heated debate regarding not only its value in the public safety community but also whether data mining reflects an ethical, or even legal, approach to the analysis of crime and intelligence data. The discipline of data mining came under fire in the Data Mining

More
[randpic]

What Is Data Mining? Datamation

Feb 07, 2019· Under this framework, data mining is the equivalent of data analysis and is a subcomponent of KDD. In practice, however, people often used data mining and KDD interchangeably. Over time, data mining became the preferred term for both processes, and today, most people use "data mining

More
[randpic]

Comprehensive Guide on Data Mining (and Data Mining

Sep 23, 2019· Regression analysis is often used in data mining for purposes of predicting customer behavior in making purchases using their credit cards, or making an estimate of how long a

More
[randpic]

What Is Data Mining and How Can it Help Your Business?

Jan 31, 2020· Distributed data mining: As data is stored in multiple locations and devices, sophisticated algorithms are being developed and used to mine data from these locations and generate reports. Geographic and spatial data mining : This type of data mining extracts geographic, environment, and astronomical data

More
[randpic]

Clustering in Data Mining GeeksforGeeks

Oct 17, 2020· Difference Between Data Mining and Data Analysis. 05, May 20. Difference Between Big Data and Data Mining. 11, Apr 20. Different phases of projected clustering in data analytics. 08, Dec 20. Projected clustering in data analytics. 07, Dec 20. Data Mining. 03, Apr 17. Basic Concept of Classification (Data Mining)

More

Contact

When we get your inquiries, we will send tailored catalogue, pricelist, delivery, payment terms and other,required details to you by email within 24 hours..