some process of mining

Process mining

Process mining is a family of techniques in the field of process management that support the analysis of business processes based on event logs. During process mining, specialized data mining algorithms are applied to event log data in order to identify trends, patterns and details contained in event logs recorded by an information system.

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Free Download: 20 Tips How to Benefit from Process Mining

Process Mining is valuable not only during the analysis phase. It can also be leveraged in many ways throughout your project's lifecycle. Our list of 20 quick tips will help you remember all the best practices for utilizing Process Mining at your company.

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machine learning

What are the differences between process mining and time ser Stack Exchange Network. Stack Exchange network consists of 175 QA communities including Stack Overflow, the largest, most trusted online community for developers to learn, share their knowledge, and build their careers.

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New Object: Process Mining Graph

Hi All, a while ago we at SDG have started to analyze business processes using system log files and different process mining tools. Since process mining has become quite a hype and many of our customers use Board, it would be a huge benefit to have a process graph as a new object within Board.

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Business Process Mining

Business Process Mining is a breakthrough capability that allows organisations to discover their business processes. By mining the logs generated by a system (event logs, audit trails etc) it is possible to discover a workflow model and related conformance performance data.

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Mining

Mining is the process of digging things out of the ground. Any material that cannot be grown must be mined. Mining things from the ground is called extraction. Mining can include extraction of metals and minerals, like coal, diamond, gold, silver, platinum, copper, tin and iron. Mining can also include other things like oil and natural gas.

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Process Mining with ProM

Week 3 covered additional process mining techniques such as conformance checking, performance analysis and social network analysis. This week also showed process mining application examples. Week 4 provided learners with time to work on the peer assignment where they were asked to write a real process mining report on real-life event data.

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KDD Process in Data Mining

11-6-2018Data Mining – Knowledge Discovery in Databases(KDD). Why we need Data Mining? Volume of information is increasing everyday that we can handle from business transactions, scientific data, sensor data, Pictures, videos, etc. So, we need a system that will

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Interested in process mining? Don't miss the highlights of

In our last two posts we already introduced some great new features that await you with ARIS 10 SR 6. Today I'll give you a preview about the highlights around process mining and process analytics. Easily combine process design with process mining capabilities and bring designed and measured processes even closer together.

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Quickly understanding process mining by analyzing event

Now, to save some time and energy, so we can get to the good stuff, here is a definition of process mining as described by the IEEE Task Force on Process Mining: Process mining techniques are able to extract knowledge from event logs commonly available in today's information systems.

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Unleash the value of PROCESS MINING

Process mining significantly lowers the cost of understanding the current process by limiting people interviews and extracting the necessary information out of the existing data from the IT systems. With process mining, the previously mentioned pain points are resolved: 1. Time-efficient: The analyst spends less time on interviews and workshops.

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Siemens uses process mining software to improve

Also, since the process mining software was installed, some lines of business that are using it have seen operational improvements. So far, the automated process monitoring has helped Siemens identify slowdowns in parts procurement, late deliveries of products and billing inefficiencies that were costing the company millions of dollars.

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11 Best Bitcoin Mining Software 2019 (Mac, Windows, Linux)

11+ mining software apps that help you get started mining fast. Bitcoin mining hardware handles the actual Bitcoin mining process, but: Bitcoin mining software is equally as important. Once you have this setup and are mining, you may need to cash out some of your coins in order to pay off your expenses such as electricity.

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What is Data Analysis and Data Mining?

7-1-2011Data mining can be regarded as a collection of methods for drawing inferences from data. The aims of data mining and some of its methods overlap with those of classical statistics. It should be kept in mind that both data mining and statistics are not business solutions; they are just technologies.

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What is biomining?

Biomining is the process of using microorganisms (microbes) to extract metals of economic interest from rock ores or mine waste. Biomining techniques may also be used to clean up sites that have been polluted with metals. Valuable metals are commonly bound up in solid minerals. Some microbes can oxidize those metals, allowing them to dissolve

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Business Process Mining: 2010

Business Process Mining is a breakthrough capability that allows organisations to discover their business processes. By mining the logs generated by a system (event logs, audit trails etc) it is possible to discover a workflow model and related conformance performance data.

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Process Mining and the ProM Framework: An Exploratory Survey

Process Mining and the ProM Framework: An Exploratory Survey 7 Fig. 7. 2Used process mining techniques in ProM 5.2 (question 7, 115 respondents) 3.7 Evaluation of most used process mining techniques in ProM 5 Fig. 8. Evaluation of most used process mining techniques in ProM 5.2 (question 16 17 2, 48 respondents) 0 10 20 30 40 50

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1.1 PHASES OF A MINING PROJECT

1.1 PHASES OF A MINING PROJECT of water (a process called 'hydraulic mining') are used to extract the ore. Placer mining is usually aimed at removing gold from stream Some mining projects involve the reworking of waste piles (often tailings) from inactive or

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What Process Mining Is, and Why Companies Should Do It

With the assistance of machine learning, some process mining software may provide proactive, actionable insights to assist in data-driven decision-making and process improvement. Process mining solutions can help operations professionals recognize how business processes are carried out in practice, not just how they are carried out in theory.

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Bitcoin Mining Guide

How Bitcoin Mining Works. Before you start mining Bitcoin, it's useful to understand what Bitcoin mining really means. Bitcoin mining is legal and is accomplished by running SHA256 double round hash verification processes in order to validate Bitcoin transactions and provide the requisite security for the public ledger of the Bitcoin network.

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Mining

The process of mining from discovery of an ore body through extraction of minerals and finally to returning the land to its natural state consists of several distinct steps. The first is discovery of the ore body, which is carried out through prospecting or exploration to find and then define the extent, location and value of the ore body.

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Advantages and Disadvantages of Data Mining

Data mining is an important part of knowledge discovery process that we can analyze an enormous set of data and get hidden and useful knowledge. Data mining is applied effectively not only in the business environment but also in other fields such as weather the quality of wafer are a lot the same and some for unknown reasons even has

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Green Mining

The current green mining techniques need to become more widespread and there will be a focus on researching new protocol for reducing harm to the environment, if followed, would reduce waste at many mine sites, as it addresses some of the most common causes of mining-related waste. Case During the mining process,

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What is Data Mining and KDD

6-1-2014When I apply machine learning methods, I apply a process that looks like the data mining process, except I am not trying to discover patterns per se, rather I am trying to find a "good enough" solution to a well defined problem. Data Mining: Concepts and Techniques. This is a textbook by Jiawei Han and Micheline Kamber.

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