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Vancouver Data Blog by Neil McGuigan

The text processing was purposefully simple tokenize the document and get the binary word vector. I then stored the results in the RapidMiner repository, which creates a binary file. In a different process, I then read the stored results and applied a Naive Bayes model to them. I didn't do all of them, but there wasn't much difference.

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MODELLING THE IMPACT OF MINING ON SOCIO

MODELLING THE IMPACT OF MINING ON SOCIO-ECONOMIC INFRASTRUCTURE DEVELOPMENT — A SYSTEM DYNAMICS APPROACH G.T. Maluleke. 1# gebring deur hulle as komplekse stelsels te benader en die sosio- The superior performance of iron ore

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Intelligent Financial Fraud Detection Practices An

Text mining Text mining and support vector machine hybrid 45.08-75.41% 50.00-81.97% [10] Financial statement fraud with managerial state-ments for US companies Text mining and decision tree hybrid Text mining and Bayesian belief network hybrid Text mining and

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SQL Server Performance Claytons Data Mining (Part 2)

This article is the second installment of Claytons data mining. Detect Categories Each row in the spreadsheet is considered to be a discrete observation. This is easy to understand when we look at the data in the sheet 'Table Analysis Tools Sample' because each row represents a customer.

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Difference Between Materiality and Performance Materiality

May 26, 2017 · Key Difference Materiality vs Performance Materiality According to Audit & Assurance Services Policy (AASP), the concept of materiality is applied by the auditor when planning and performing the audit since the auditor has to provide an opinion on whether the financial statements are materially correct. The key difference between materiality and performance materiality is that materiality

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Statistical Issues in Quantifying Text Mining Performance

In this dissertation, I investigate various statistical issues in quantifying text mining performance, and Chapter 1 is a brief introduction. Chapter 2 is about the adequate pre-processing for text data.

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Mining powered by Radeon Pro WX Series

Mar 02, 2018 · Though AMD has another product in there line up, that not too many people are actually paying close attention to, the Radeon Pro WX Series cards, for a few reasons, it just seems more logical to me that the Pro WX GPU is more optimized for mining cryptos since its design leans more towards crunching numbers, running complex

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Using Natural Language Processing to Improve

Using Natural Language Processing to Improve Biomedical Concept Normalization and Relation Mining USING NATURAL LANGUAGE PROCESSING TO IMPROVE BIOMEDICAL CONCEPT NORMALIZATION AND RELATION MINING the performance of a text mining system drops if it has been trained on one genre, and then is applied on another genre.

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How to find the optimal GPU Clock speed for mining

Back in the old days of scrypt mining, there are certain ratios between Core and Memory Clock speed to achieve a relatively optimal mining speed. How to find the optimal GPU Clock speed for mining. Memory performance is key for ethereum. For most 7950/7970/280x cards that'll be exactly 1500mhz, as anything higher switches you to the

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EBITDA Definition

EBITDA, or earnings before interest, taxes, depreciation and amortization, is a measure of a company's overall financial performance and is used as an alternative to simple earnings or net income

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Top 15 Best Free Data Mining Tools The Most

Specialized in pattern mining, SPMF is an open source data mining library. It is written in JAVA. It contains data mining algorithms that easily integrate with other Java software. Click SPMF to visit the official website. #25) GraphLab GraphLab is high performance,

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Text Mining The Marketing Game-Changer Gallantra

Jan 10, 2018 · Text Mining The Marketing Game-Changer. This game-changer is a technique called Text Mining. Text mining represents part of the area Increasing Your Email Marketing Campaigns' Performance.

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Application of Text Mining into Auto Answering System

Application of Text Mining into Auto Answering System and Improvement of Mining Performance 171 4 Results and discussion We evaluated the system performance by measuring the ranks of the target abstracts. When internet users carry out searches on the Internet, they don't check all of the pages. Most users review only up to ten of the top pages.

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DATA MINING IN FINANCE AND ACCOUNTING A

performance prediction. The importance of DM in finance and accounting has been recognized by many organizations. The American Institute of Chartered Public Accountants has identified data mining as one of the top ten technologies for tomorrow and the Institute of Internal Auditors has listed DM as one of the four research priori-ties (Koh, 2004).

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Maximizing Text-Mining Performance

Maximizing Text-Mining Performance Sholom M. Weiss, Chidanand Apte, Fred J. Damerau, David E. Johnson, Frank J. Oles, Thilo Goetz, and Thomas Hampp, IBM T.J. Watson Research Center W ITH THE ADVENT OF CENTRAL-ized data warehouses, where data might be stored as electronic documents or as text fields in databases,text mining has increased

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EYE ON IT QUALIFICATIONPACK

Performance Criteria (PC) w.r.t. the Scope Element Performance Criteria Measuring and setting out dimensional control PC1. Information and instructions are interpreted accurately for dimensional position and measurement control of the work program PC2. Area to be measured and set out is identified accurately in accordance with the work's

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4.6 Text Clustering Evaluation Week 4 Coursera

So, to summarize text clustering, it's a very useful unsupervised general text mining technique, and it's particularly useful for obtaining an overall picture of the text content. And this is often needed to explore text data, and this is often the first step when you deal with a lot of text data.

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Maximizing Text-Mining Performance

Maximizing Text-Mining Performance Sholom M. Weiss, Chidanand Apte, Fred J. Damerau, David E. Johnson, Frank J. Oles, Thilo Goetz, and Thomas Hampp, IBM T.J. Watson Research Center W ITH THE ADVENT OF CENTRAL-ized data warehouses, where data might be stored as electronic documents or as text fields in databases,text mining has increased

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The Winklevoss Twins' Bitcoin ETF Explained

Update March 10th 2017 The SEC has rejected the Bitcoin ETF suggested by the Winklevoss twins. According to a publicly distributed notice detailing the decision, the SEC said "As discussed further below, the Commission is disapproving this proposed rule change because it does not find the proposal to be consistent with Section 6(b)(5) ofRead More

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SAS High-Performance Analytics Tip #1 How it differs

Have you wondered how SAS High-Performance Analytics (HPA) enables you to make faster business decisions using big data (think gigabytes or more) or how to use this technology in SAS Enterprise Miner? This post is the first among a series that explains exactly that. It introduces the terms and definitions needed to understand the material and a high level product overview of various SAS

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Graphical Models for Text Mining Knowledge Extraction

ical model for knowledge extraction and performance estimation. Text mining is a broad definition of a huge set of models, methods and algo-rithms that aim to distill information from textual data and discover valu-able knowledge otherwise hidden. In particular we

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Performance Comparison for Text Mining Methods

Due to rapid growth of digital data usages in recent database applications it is required to utilize effective text mining method for efficient performance. Text mining is research area because in

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Text Mining Seminar and PPT with pdf report

Jan 09, 2015 · Text Mining Seminar and PPT with pdf report The term text mining is very usual these days and it simply means the breakdown of components to find out something.If a large amount of data is needed to analyze then the text mining is the necessary thing, the text mining has a lot of attention due to its excellent results and the avail of text mining is enhancing day by day.

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Running Tensorflow on AMD GPU Text Mining Backyard

Oct 18, 2018 · Text Mining Backyard. Tags About Running Tensorflow on AMD GPU. October 18, 2018 Performance Difference. I created a CNN on CIFAR10 dataset and its training on CPU( meaning without PlaidML ) took about 460 minutes for 10 epochs( ~ 46 mins per epoch). When I got fed up of this, I installed PlaidML and that code took about 10 minutes( ~1 min

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MINING CABLES

MINING CABLES TELE-FONIKA Kable is the biggest cable producer in Central and Eastern Europe. In scope of mining cables producion, TELE-FONIKA Kable is a leader in Poland and doesn't give way to other European and world's producers. For producion of mining cables, TF Kable has over a dozen various producion lines of coninuous

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10 Tips to Improve your Text Classification Algorithm

Jan 21, 2013 · 10 Tips to Improve your Text Classification Algorithm Accuracy and Performance ← Text Classification Threshold Performance Graph. I strongly recommending reading a book on Data Mining to get a better holistic picture about the over-all discipline, and maybe that will also spark some unique ideas of your own, which will make for a

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Published in Journal of Global Research in Computer Sciences · 2013Authors Lokesh Kumar · Parul Kalra BhatiaAffiliation Amity UniversityAbout Omics · Cognitive radio · IEEE 802.22 · Information extraction · Information retrieval

Examples of text mining/analysis Text mining & text

Oct 16, 2019 · Text mining genotype-phenotype relationships from biomedical literature for database curation and precision medicine Researchers developed a highly accurate machine-learning-based text mining approach for mining complete genotype-phenotype relationships from biomedical literature.Disease-gene-variant triplets were extracted from all abstracts in PubMed related to a set of

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High Performance Latent Dirichlet Allocation for Text

High Performance Latent Dirichlet Allocation for Text Mining A thesis submitted for Degree of Doctor of Philosophy By Zelong Liu Department of Electronic and Computer

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Data Mining TextBook by Thanaruk Theeramunkong, PhD

Introduction to Concepts and Techniques in Data Mining and Application to Text Mining Download this book! This book is composed of six chapters. Chapter 1 introduces the field of data mining and text mining. It includes the common steps in data mining and text mining, types and applications of data mining and text mining.

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A Text Mining Approach for Sustainable Performance

sustainability Article A Text Mining Approach for Sustainable Performance in the Film Industry Hyunwoo Hwangbo 1 and Jonghyuk Kim 2,* 1 Graduate School of Information, Yonsei University, 50, Yonsei-ro, Seodaemun-gu, Seoul 03722, Korea; [email protected] or [email protected]

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