The Best Data mining tutorial and blogs for Beginners and Experts at Moment For Technology

Tag: Data mining

The development tools

Predicting time Series with neural networks in R: Multilayer perceptrons and extreme Learning Machines

December 8, 2023

by Bradley Stanley

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For this example, I will model the time series in R. I keep the last 24 observations as a test set and will use the...

The development tools

R language uses the optimal cluster number k-medoids clustering for customer segmentation

December 8, 2023

by Nicola Gardner

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K-medoids is another clustering algorithm that can be used to find groups in a dataset. K-medoids clustering is very similar to k-means clustering, except for...

The development tools

[Big Data Tribe] R language conducts text sentiment analysis on Twitter data

December 8, 2023

by Julie Paton

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Taking the Twitter data captured by R language as an example, we conducted text mining on the data and further carried out sentiment analysis, thus...

The development tools

Computational neural network integration model in Python deep learning Keras

December 8, 2023

by Elizabeth Ford

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The training process of neural network is a challenging optimization process and usually cannot converge. This may mean that the model at the end of...

The development tools

Zhihu Daily database retrieval tool

December 8, 2023

by Brent Cook-McMahon

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Data mining open source tools

The back-end

Data mining and machine learning in Python

December 8, 2023

by Riley Cochran

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Abstract: What is data mining? What is machine learning? What about Python data preprocessing? This paper will lead everyone to understand data mining and machine...

The back-end

R Language variance analysis (ANOVA) differences in the scores of students attending the tutorial exam

December 8, 2023

by Wendy Haynes

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Analysis of variance (ANOVA) is a common statistical model. As its name implies, the purpose of ANOVA is to compare mean values. To illustrate this...

The development tools

Value-at-risk model measures TVaR and VaR in R language

December 8, 2023

by Amber Spencer

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99% expected gap [...] With 99. At 99% confidence level [...] Expected gap on [...] Corresponds to approximately 99.6% to 99. For any (absolutely) continuous...

Artificial intelligence (ai)

IP Geolocation three paper notes

December 7, 2023

by Craig Jensen-Middleton

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The first time they contacted IP Geolocation, they spent two days to roughly understand what problems they had solved in their previous work, and the...

The development tools

Model-based clustering and Gaussian mixture models in R language

December 7, 2023

by Renee Shannon

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Model-based clustering is an iterative method that fits a set of data sets into a cluster by optimizing the distribution of data sets in the...

The development tools

R language nonparametric method: Classification prediction of heart disease data using kernel method and K-NN(K-nearest Neighbor algorithm)

December 7, 2023

by Rebecca Short

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This paper considers classification prediction based on kernel method. Note that we are not using standard logistic regression here; it is a parametric model. There...

The development tools

Conjugate functions in R language optimization problems

December 7, 2023

by Maria Harvey

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In regression modeling studies, we will discuss optimization, and the classical tool is called conjugation. The visualization considers a simple parabolic function (in dimension 1)...

The development tools

Python uses neural networks for simple text classification

December 7, 2023

by Zachary Taylor

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Deep learning is everywhere. In this article, we will use Keras for text categorization. For demonstration purposes, we will use 20 newsgroup data sets. The...

The development tools

Amazon merchandise sales data crawler analysis report

December 7, 2023

by Kismat Kant

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The home appliance industry and consumers are quietly upgrading. Such changes in the market make consumers' expectations of home appliances no longer a simple function...

The development tools

Exploring LME4 Generalized Linear Mixing Models (GLMM) and Linear Mixing Models (LMM) with Rshiny

December 6, 2023

by Heer Konda

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As software packages advance, it becomes easier to use generalized linear mixed model (GLMM) and linear mixed model (LMM). As we find ourselves using these...

The development tools

MNIST is implemented with TensorFlow

December 6, 2023

by Mark Mccoy

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Here, we use TensorFlow to realize a neural network with three layers, namely input layer, hidden layer and output layer. from tensorflow.examples.tutorials.mnist import input_data mnist...

The development tools

Python uses PyMC3 to implement bayesian linear regression models

December 6, 2023

by Jayant Chadha

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In this article, we will introduce regression modeling in a Bayesian framework and use the PyMC3 MCMC library for reasoning. We will first review the...

The development tools

R language extreme value inference: Generalized Pareto distribution GPD uses maximum likelihood estimation, contour likelihood estimation and Delta method

December 6, 2023

by 張宜君

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This article is about extreme value inference. We use the maximum likelihood method on the generalized Pareto distribution. In the context of parametric models, the...

The development tools

Comparative analysis of application of different types of confidence intervals for regression model prediction in R language

December 6, 2023

by Christine Porter

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We discuss methods of using programs to obtain confidence intervals for predictions. We're going to talk about linear regression. > points(x,predict(reg,newdata= data. We're making a...

The development tools

A practical study on Python Monte Carlo K-means clustering

December 6, 2023

by 李詩婷

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In this paper, 188 countries are aggregated based on these 19 socioeconomic indicators using monte-Carlo K-means clustering algorithm implemented by Python. Clustering can help reduce...

The development tools

Therapeutic effects in Stata: RA: regression adjustment, IPW: inverse probability weighting, IPWRA, AIPW

December 6, 2023

by Dennis Gray

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Today's topic is therapeutic effects in Stata. The treatment effect estimator estimates causality of treatment to outcome based on observational data. As with any regression...

The development tools

In Python, LSTM is used for time series prediction analysis – predicting power load data

December 6, 2023

by Paula Eglinton

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In this example, the neural network was used to predict the power consumption of citizens' offices using data from April 2011 to February 2013. Daily...

The development tools

Example of Python seq2seq model for NLP: Neural network machine translation with Keras

December 6, 2023

by Trevor Clark

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In this article, we will see how to create a language translation model, which is a well-known application of neural machine translation. We will use...

The development tools

Visual assessment of GIS remote sensing data: snow area change in the upper Indus River Basin

December 6, 2023

by Samar Ramesh

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At high altitudes, snow cover plays an important role in mountain hydrology. The Satluj is a snowy river that forms part of the Indus System...