used mining results

Poll Results analytics/data mining tools used for a real

Poll Results analytics/data mining tools used for a real

Poll Results analytics/data mining tools used for a real project The poll had a record participation (over 1,100 voters). 43% of them used only commercial software, 32% only free software, and 25% both.

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Association Analysis Basic Concepts and Algorithms

Association Analysis Basic Concepts and Algorithms

of association analysis and the algorithms used to eciently mine such pat terns. The second part of the chapter deals with the issue of evaluating the discovered patterns in order to prevent the generation of spurious results. 6.1 Problem Denition This section reviews the basic terminology used in

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Drill Results for Gold, Precious Metals Explained

Drill Results for Gold, Precious Metals Explained

Resource Investing News talked to a mining expert to demystify some of the terms that gold companies and other juniors in the precious metals sector often use to discuss drilling results.

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Safety Mining Technology of Coal Seams in Weathered Zone

Safety Mining Technology of Coal Seams in Weathered Zone

Research results provide important references for the safety mining of thin basement coal seams under similar conditions. Advances in Civil Engineering is a peer reviewed, Open Access journal that publishes original research articles as well as review articles in all areas of civil engineering.

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Hecla Mining Looking at 2018 Results, Lower Metal Prices

Hecla Mining Looking at 2018 Results, Lower Metal Prices

Nov 28, 20180183;32;This document is not intended as an offering, recommendation, or a solicitation of an offer to buy or sell the securities mentioned or discussed and is to be used for informational purposes only.

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Data Mining   Instructional Technology Services

Data Mining Instructional Technology Services

The Future of Data Mining. In the short term, the results of data mining will be in profitable, if mundane, business related areas. Micro marketing campaigns will explore new niches. Advertising will target potential customers with new precision. In the medium term, data mining may be as common and easy to use as e mail.

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U.S. GAO   Data Mining Results and Challenges for

U.S. GAO Data Mining Results and Challenges for

Data mining results serve to quot;put a facequot; on the control breakdowns and provide managers with examples of the real and costly consequences of failing to properly control these large programs.

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Everything you need to know about Bitcoin mining

Everything you need to know about Bitcoin mining

Bitcoin mining is the process of adding transaction records to Bitcoin's public ledger of past transactions or blockchain. This ledger of past transactions

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Top 5 Data Mining Techniques   infogix

Top 5 Data Mining Techniques infogix

Each of the following data mining techniques cater to a different business problem and provides a different insight. Knowing the type of business problem that youre trying to solve, will determine the type of data mining technique that will yield the best results.

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Used Mining Shovel / Excavator for Sale from  dealers

Used Mining Shovel / Excavator for Sale from dealers

The official online source for Certified Used Equipment available from the best Dealer network in the industry Literally thousands of used machines and parts are at your fingertips, straight from your Dealer who provides unequalled product and customer support.

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Best Drill Interceptions In The Metals Mining Sector For

Best Drill Interceptions In The Metals Mining Sector For

Oct 28, 20180183;32;However, great exploration results can also improve the economics of large projects of established global mining companies.

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5 data mining techniques for optimal results

5 data mining techniques for optimal results

5 data mining techniques for optimal results Faulty data mining makes seeking of decisive information akin to finding a needle in a haystack. Here are some tips to tweak your data mining exercises.

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3 Technologies in Exploration, Mining, and Processing

3 Technologies in Exploration, Mining, and Processing

Technologies in Exploration, Mining, and Processing INTRODUCTION The life cycle of mining begins with exploration, continues through production, and ends with closure and postmining land use.

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Interpreting data mining results with linked data for

Interpreting data mining results with linked data for

The base of this approach is exploiting LOD to help in achieving a better interpretation of data mining results, and reaching a better understanding by having linked patterns rather than just data

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What Is Data Mining?   Oracle

What Is Data Mining? Oracle

Data mining and OLAP can be integrated in a number of ways. For example, data mining can be used to select the dimensions for a cube, create new values for a dimension, or create new measures for a cube. OLAP can be used to analyze data mining results at different levels of granularity.

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Data mining

Data mining

For example, the data mining step might identify multiple groups in the data, which can then be used to obtain more accurate prediction results by a decision support system. Neither the data collection, data preparation, nor result interpretation and reporting is part of the data mining step, but do belong to the overall KDD process as additional steps.

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Application of Data Mining Technology on Surveillance

Application of Data Mining Technology on Surveillance

We also used confusion matrix, accuracy, sensitivity, specificity, precision, recall, and the area under the receiver operating characteristic (ROC) curve (AUC) to evaluate classification performance and analyzed the importance of predictive variables. Results.

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Mining for results   PMLiVE

Mining for results PMLiVE

Mining for results How one tech firm is working with Big Data California based cognitive computing firm Apixio was founded in 2009 with the vision of uncovering and making accessible clinical knowledge from digitised medical records, in order to improve healthcare decision making.

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Testing and Validation (Data Mining)  Microsoft Docs

Testing and Validation (Data Mining) Microsoft Docs

Ask business experts to review the results of the data mining model to determine whether the discovered patterns have meaning in the targeted business scenario . All of these methods are useful in data mining methodology and are used iteratively as you create, test, and refine models to answer a specific problem.

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Data Mining   Investopedia

Data Mining Investopedia

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, businesses can learn more about their

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Mining Water Use, the USGS Water Science School

Mining Water Use, the USGS Water Science School

The United States now produces a wide variety of mined commodities from gold to coal to quot;exoticquot; minerals used in everything from pharmaceuticals to jewelry to high tech products. All these products would not be possible without the use of water in mining.

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mining quarrying results   perkinspreschool

mining quarrying results perkinspreschool

Mining and quarrying extraction activities Istat. Apr 19, 2017 Mining and quarrying survey results are disseminated by Istat today. The years 2013, 2014 and preliminary estimates on 2015 are investigated.

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Making the grade understanding exploration results

Making the grade understanding exploration results

The most exciting news from a mining exploration stock is a high grade drilling result. But what constitutes a good assay? It varies from situation to situation and commodity to commodity.

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EquipmentMine   New and Used Mining Equipment Marketplace

EquipmentMine New and Used Mining Equipment Marketplace

EquipmentMine is a searchable database of new, used and surplus mining equipment and parts available for sale. Update Results Clear Top . New and Used Mining Equipment for Sale. Premium Mining Equipment Listings. Underground Loaders , , Atlas Copco, Jumbos, Bolters, Drills MacLean, Atlas Copco, , RDH, Oldenburg,

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Department of Homeland Security

Department of Homeland Security

methodology used; (2) the sources of data used; (3) an analysis of the individuals are made based solely on data mining results. In all cases, DHS employees analyze the results of data mining, and then apply their own judgment and expertise to bear in making

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A Review of Data Mining Techniques for Result Prediction

A Review of Data Mining Techniques for Result Prediction

A Review of Data Mining Techniques for Result Prediction in Sports Abstract In the current world, sports produce considerable statistical information about each player, team, games, and seasons. Traditional sports science believed science to be owned by experts,

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Best Drill Interceptions In The Metals Mining Sector For

Best Drill Interceptions In The Metals Mining Sector For

Aug 26, 20180183;32;Osisko Mining is delivering excellent drill results at Windfall Lake which should help the company improve the resource and economics of an already great project.

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1.8 Evaluating Mining Results   Introduction and Data

1.8 Evaluating Mining Results Introduction and Data

1.8 Evaluating Mining Results. Process mining techniques can be used in an offline, but also online setting. The latter is known as operational support. An example is the detection of non conformance at the moment the deviation actually takes place. Another example is time prediction for running cases, i.e., given a partially executed case

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Examples of data mining

Examples of data mining

Additionally, sophisticated applications could be used to automate mailing. Once the results from data mining (potential prospect/customer and channel/offer) are determined, this quot;sophisticated applicationquot; can either automatically send an e mail or a regular mail.

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2006 Data Mining 101 Tools and Techniques   Ia Online Home

2006 Data Mining 101 Tools and Techniques Ia Online Home

Data mining is not particularly new statisticians have used similar manual approaches to review data and provide business projections for many years. Changes in data mining techniques, however, have enabled organizations to collect, analyze, and access data in new ways. The first change occurred in the area of basic data collection.

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