Implementation of ID3 algorithm classification using web-based weka

Fitrani, Arif Senja; Rosid, Mochamad Alfan; Findawati, Yulian; Rahmawati, Yuli; Anam, A. K.

doi:10.1088/1742-6596/1381/1/012036

Cited by 7 publications

(2 citation statements)

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“…Scientists use pruning to optimize decision tree and abridge the extracted rules which typically has two ways: pre pruning and post-pruning (Qowidho et al 2019). It can be extracted a set of rules from each branch in the form of IF-THEN (Fitrani et al 2019).…”

Section: Decision Treementioning

confidence: 99%

The impact of digital marketing strategies on customer’s buying behavior in online shopping using the rough set theory

Forghani

Sheikh

Hosseini

et al. 2021

Int J Syst Assur Eng Manag

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Digital Marketing strategies are sets of controllable e-marketing variables that organizations combine to achieve marketing goals and to meet customers' needs. These strategies are the most important factors that electronic-marketing managers pay attention to the best strategy in order to achieve sales and profitability. This study aims to investigate the effect of these strategies on the buying behavior of customers in online shopping stores in Tehran. For this purpose, five best-selling online stores in Tehran are selected and 79 samples are taken from each of them. For data collection, a 2-tuple fuzzy linguistic representation model is used in order to no lose the linguistic information obtained from customers. For data analyzing and extracting proper rules, two approaches of the rough set theory are used. Based on the results provided by Rosetta software, five rules governing customer behavior are identified as the most important factors affecting buying behavior in online shopping. To evaluate the result, a comparison is carried out between the extracted rules using the proposed rough set technique and the tree diagram of the data obtained by Rapidminer software. Almost all provided rules are confirmed through this comparison along with the opinions of experts. Some of key results according to the obtained rules indicate that the most important digital marketing strategy is the search engine optimization. Moreover, the social media marketing and recommender engine play as second important issue of the marketing management.

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Section: Decision Treementioning

confidence: 99%

The impact of digital marketing strategies on customer’s buying behavior in online shopping using the rough set theory

Forghani

Sheikh

Hosseini

et al. 2021

Int J Syst Assur Eng Manag

View full text Add to dashboard Cite

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“…In the next section, we will discuss in depth the measures behind the constructing of the model, then later we will present how to make these measures work with learning algorithms ID3 [1,2] and C4.5 [3,4,5,6].…”

Section: Introductionmentioning

confidence: 99%

Study of The ID3 and C4.5 Learning Algorithms

Fakir

Azalmad

Elaychi

2020

JMID

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Data Mining is a process of exploring against large data to find patterns in decision-making. One of the techniques in decision-making is classification. Data classification is a form of data analysis used to extract models describing important data classes. There are many classification algorithms. Each classifier encompasses some algorithms in order to classify object into predefined classes. Decision Tree is one such important technique, which builds a tree structure by incrementally breaking down the datasets in smaller subsets. Decision Trees can be implemented by using popular algorithms such as ID3, C4.5 and CART etc. The present study considers ID3 and C4.5 algorithms to build a decision tree by using the “entropy” and “information gain” measures that are the basics components behind the construction of a classifier model

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