Pennsylvania’s Historical Annual Mining Reports 1870 to Present

Aug 24, 2014

450 likes | 520 Views

Pennsylvania’s Historical Annual Mining Reports 1870 to Present.

Share Presentation

Embed Code

Link

pennsylvania
historical annual mining reports

edna

Download Presentation

Pennsylvania’s Historical Annual Mining Reports 1870 to Present

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

Pennsylvania’s Historical Annual Mining Reports 1870 to Present

GEOLOGY, MINING, AND PROCESSING OF THE INDUSTRIAL MINERALS

GEOLOGY, MINING, AND PROCESSING OF THE INDUSTRIAL MINERALS. Virginia McLemore. CLASS REQUIREMENTS. GOALS IN THIS CLASS. Importance, geology, mining, processing of industrial minerals What is involved from exploration thru production thru marketing Reports, field notes, presentations

1.85k views • 102 slides

Opinion Mining A Short Tutorial

Opinion Mining A Short Tutorial. Kavita Ganesan Hyun Duk Kim Text Information Management Group University of Illinois @ Urbana Champaign. Agenda. Introduction Application Areas Sub-fields of Opinion Mining Some Basics Opinion Mining Work Sentiment Classification Opinion Retrieval.

1.33k views • 74 slides

Chapter 2 Data Mining

Chapter 2 Data Mining. Faculty of Computer Science and Engineering HCM City University of Technology October- 2010. Outline. Overview of data mining Association rules Classification Regression Clustering Other Data Mining problems Applications of data mining. DATA MINING.

2.3k views • 154 slides

Illinois Department of Human Services / Division of Mental Health and Illinois Mental Health Collaborative Present

Illinois Department of Human Services / Division of Mental Health and Illinois Mental Health Collaborative Present. December 2008. Introduction To IntelligenceConnect and Reporting. Agenda. Introductions Access IntelligenceConnect Claims Reports Review Available Reports/Data Set

1.04k views • 85 slides

Mining Billion-Node Graphs - Patterns and Algorithms

Mining Billion-Node Graphs - Patterns and Algorithms. Christos Faloutsos CMU. Thank you!. Henry Kautz Melissa Singkhamsack. Resource. Open source system for mining huge graphs: PEGASUS project (PEta GrAph mining System) www.cs.cmu.edu/~pegasus code and papers. Roadmap.

1.41k views • 118 slides

Data Mining

Data Mining . Seonggyu Kim. Data Mining. Data – recorded facts Information – set of patterns or expectations. Data Mining – extraction of implicit, previously unknown, and potentially useful information from data

2.38k views • 193 slides

Data Mining Tools

Data Mining Tools. Overview & Tutorial Ahmed Sameh Prince Sultan University Department of Computer Science & Info Sys May 2010 (Some slides belong to IBM). Introduction Outline. Goal: Provide an overview of data mining. Define data mining Data mining vs. databases

3.84k views • 301 slides

DATA MINING

DATA MINING. This PPT is Dedicated to my inner controller AMMA BHAGAVAN – ONENESS Founders. Developed by, S.V.G.REDDY, Associate professor, Dept.of CSE, GIT, GITAM UNIVERSITY. What Motivated Data Mining?.

1.56k views • 84 slides

INTRODUCTION TO DATA MINING

INTRODUCTION TO DATA MINING. Pinakpani Pal Electronics & Communication Sciences Unit Indian Statistical Institute pinak@isical.ac.in. Main Sources. Data Mining Concepts and Techniques – Jiawei Han and Micheline Kamber , 2007

1.59k views • 133 slides

Present Simple & Present Continuous

Present Simple & Present Continuous. Present Simple. Practice 1: Write the third person singular of the verbs in the list in the correct box. dance finish study open mix pray put miss like dry do catch wash say cry copy watch play pass begin. Practice 1. Present Simple.

3.68k views • 34 slides

Past and Present

Past and Present. Transportation . Past. Present. Housing. Present. Past. Schools. Present. Past. Farming. Past. Present. Cooking. Present. Past. Laundry . Past . Present. FUTURE.

6k views • 8 slides

Web Mining : A Bird ’ s Eye View

Web Mining : A Bird ’ s Eye View. Sanjay Kumar Madria Department of Computer Science University of Missouri-Rolla, MO 65401 madrias@umr.edu. Web Mining. Web mining - data mining techniques to automatically discover and extract information from Web documents/services (Etzioni, 1996).

2.43k views • 191 slides

CS590D: Data Mining Prof. Chris Clifton

CS590D: Data Mining Prof. Chris Clifton. January 24, 2006 Association Rules. Mining Association Rules in Large Databases. Association rule mining Algorithms for scalable mining of (single-dimensional Boolean) association rules in transactional databases

1.85k views • 166 slides

Mining Complex Types of Data

Mining Complex Types of Data. 2004/10/29. Outline. 1. Generalization of Structured Data 2. Mining Spatial Databases 3. Mining Time-Series and Sequence Data 4. Mining Text Databases 5. Mining the World Wide Web. 1. Generalization of Structured Data.

1.81k views • 104 slides

UNIT-1 Introduction

UNIT-1 Introduction. Motivation: Why data mining? What is data mining? Data Mining: On what kind of data? Data mining functionality Classification of data mining systems Major issues in data mining. Unit-II Data warehouse and OLAP. What is a data warehouse?

1.31k views • 95 slides

Utilization and ROI Reports

Utilization and ROI Reports. International Alert Users Association Conference November 12-14, 2009 Jeffrey Knoepke. Utilization and ROI Reports. How do you measure your Rental Fleet performance?. Utilization and ROI Reports. Time Utilization? (The portion of time equipment is on-rent).

1.25k views • 95 slides

Data Mining

Data Mining. Dr. Mohsen Kahani Email: kahani@um.ac.ir http://www.um.ac.ir/~kahani/. Overview. Introduction Data Mining Functions and Models Data Mining Methodologies Data Mining Case Studies Final Remarks. Motivation: “Necessity is the Mother of Invention”. Data explosion problem:

1.59k views • 75 slides

CSE 634 Data Mining Concepts and Techniques Association Rule Mining

CSE 634 Data Mining Concepts and Techniques Association Rule Mining. Barbara Mucha Tania Irani Irem Incekoy Mikhail Bautin Course Instructor: Prof. Anita Wasilewska State University of New York, Stony Brook Group 6. References.

1.19k views • 98 slides

More Related

Pennsylvania’s Historical Annual Mining Reports 1870 to Present

Pennsylvania’s Historical Annual Mining Reports 1870 to Present

Presentation Transcript

GEOLOGY, MINING, AND PROCESSING OF THE INDUSTRIAL MINERALS

Opinion Mining A Short Tutorial

Chapter 2 Data Mining

Illinois Department of Human Services / Division of Mental Health and Illinois Mental Health Collaborative Present

Mining Billion-Node Graphs - Patterns and Algorithms

Data Mining

Data Mining Tools

DATA MINING

INTRODUCTION TO DATA MINING

Present Simple &amp; Present Continuous

Past and Present

Web Mining : A Bird ’ s Eye View

CS590D: Data Mining Prof. Chris Clifton

Mining Complex Types of Data

UNIT-1 Introduction

Utilization and ROI Reports

Data Mining

CSE 634 Data Mining Concepts and Techniques Association Rule Mining

Present Simple & Present Continuous