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Classification techniques in data mining | PPT

Classification techniques in data mining - Download as a PDF or view online for free ... • Download as PPTX, PDF • 1 like • 4,803 views. K. Kamal Acharya Follow. The document discusses classification algorithms in machine learning. It provides an overview of various classification algorithms including decision tree classifiers, rule-based ...

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Mine machinery

6. TYPES OF CORE 1) Fiber Core: It is made of fibers & generally used as a main core in stranded ropes. It provides more flexibility to the rope. It also serves as a cushion to reduce the effects of sudden strain and acts as an …

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Bucket wheel excavator ppt | PPT

2. Introduction, Bucket Wheel Excavators (BWE) are continuous cutting machines for soft to semi hard materials like clay, sand, gravel, marl and their blendings as well as lignite and hard coal. • The primary function of BWEs is to act as a continuous digging machine in large-scale open pit mining operations.

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Roof supports in coal mines | PPT

3. INTRODUCTION Every underground mine can be subjected to roof failure. It has been the major cause for fatalities to mine workers across the world. Therefore, roof supports are used to stabilize the roof. Roof supports include both intrinsic supports, such as roof bolts, and standing supports, such as timber. They interact with the ground to create a stable rock structure.

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Road Header and Bolter Miner | PPT

Bolter Miner Overview Model 12ED30 Machine operation Sumping type miner Cutter head Wide head machine – extendable/retractable drums Cutting width - extended 5,500mm (5.5 meters) Maximum cutting height 4,500mm (4.5 meters) Coal gathering Plow type machine Bolting rigs: Roof Four roof bolters Bolting rigs: Rib Two rib bolters Roof support Four ...

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Data Mining and Machine Learning | PPT

The course introduces students to data mining in its interdisciplinary nature, with the goal of being exposed to and being able to obtain variety of data, process them, quickly find one's feet, and perform exploratory analysis as a basis for drawing conclusions for decision-making and/or subsequent automation and prediction employing machine learning models.

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Underground Mining System Question Pattern and Answer | PDF

Longwall mining machines are typically 150-250 meters in width and 1.5 to 3 meters high. 3. Longwall miners extract "panels" -rectangular blocks of coal as wide as the face the equipment is installed in, and as long as several kilometers. 4. A layer of coal is selected and blocked out into an area known as a panel (A typical panel might be 3000 ...

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Support Vector Machines | PPT

1. Advanced Computing Seminar Data Mining and Its Industrial Applications — Chapter 8 — Support Vector Machines Zhongzhi Shi, Markus Stumptner, Yalei Hao, Gerald Quirchmayr Knowledge and Software Engineering Lab Advanced Computing Research Centre School of Computer and Information Science University of South Australia

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Machine Learning and Data Mining: 15 Data Exploration and

2. References 2 Jiawei Han and Micheline Kamber, "Data Mining, : Concepts and Techniques", The Morgan Kaufmann Series in Data Management Systems (Second Edition) Tom M. Mitchell. "Machine Learning" McGraw Hill 1997 Pang-Ning Tan, Michael Steinbach, Vipin Kumar, "Introduction to Data Mining", Addison Wesley Ian H. Witten, Eibe Frank.

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Mining Methods | PPT

Underground mining methods discussed include continuous miners, longwall mining, and road headers. New concepts being implemented in India such as highwall mining, punch longwall mining, and longwall top coal caving are also summarized. The document provides diagrams and descriptions of the equipment used for different mining methods. Read …

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Opencast mining overview | PPT

Opencast mining, also called open-pit or open-cut mining, involves removing mineral resources from the earth through large pits or holes dug on the surface. It has advantages like high coal extraction rates, mechanization, and fewer safety hazards than underground mining.

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Mine development tools, machineries and equipments | PPT

• The development in Underground Mining needs more machinery and tools. • The making of tunnels and shafts involves drilling and blasting of the subsurface. • Underground materials are transported to the refining area with some machines like trucks, haul trains, …. • The materials used for transportation of ore bodies which are excavated.

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Ripper | PPT

Ripper - Download as a PDF or view online for free. 9. Maintenance and repair cost: • The repair and maintenance cost includes the cost of replacement parts, labor charges and the cost of setting up and operating facilities to carry out major repair and maintenance operations. • The repair and maintenance cost varies from one year to another over the …

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CONTINUOUS MINERS | PPT

This document describes the components and operation of a continuous miner machine used for underground coal mining. It discusses the main parts of the continuous miner including the cutter head, gathering arms, conveyor system, traction system, dust collector, and electrical and hydraulic systems.

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Machine Learning in Mining | PPT

Coert du Plessis shares five areas where machine learning applies across the mining value chain, reflecting on his experience leading data science at Deloitte, Digital and Data at BHP and his current role as CEO at MaxMine Coert covers exploration, Asset Health, Production, Human behaviour and Sustainability / Carbon reduction Read less

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Different Raising Techniques in mining | PPT

Different Raising Techniques in mining - Download as a PDF or view online for free ...,0.9 m -3.7 m dia. driven. Circular configuration obtained without drilling and blasting. Machine setup at top and pilot hole of 225-250 mm dia. drilled down to get through into lower level. Large reamer bit is put at bottom of the drill rod and the raise is ...

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Mining Engineering

Lecture 18: Surface Mining Machinery : Machinery for Cyclic Excavation : Electric Rope Shovel: Download: 19: Lecture 19: Surface Mining Machinery: Machinery for Cyclic Excavation : …

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Exploring the Differences Data Mining vs. Machine Learning

5. Learning Ability: • Data mining remains static, while machine learning adapts and learns over time. • Machine learning continually refines its algorithms, improving accuracy and efficiency. 6. Accuracy and Use Cases: • While data mining enhances predictive abilities, machine learning ensures highly accurate conclusions.

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Introduction to data mining and machine learning

8. Database Mining Large datasets from growth of automation/web Ex: web click data, medical records, biology, engineering Applications can't program by hand Ex: Autonomous helicopter, handwriting recognition, most of NLP, Computer vision Self- customizing programs Amazon, Netflix product recommendation Understand human Learning(brain, real AI) Machine …

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