[PDF] Top 20 Suspicious E-mail Detection via Decision Tree: A Data Mining Approach
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Suspicious E-mail Detection via Decision Tree: A Data Mining Approach
... of e-mail dataset and prepro- cess the e-mail body and to train the system we used ID3 ( Iterative Dichotomiser 3 ) algorithm [ 6 ] to generate a decision tree that categorize ... See full document
9
Decision tree Classification and Model Evaluation for Breast Cancer Survivability: A Data Mining Approach
... into groups or predicts values of a dependent (target) variable based on values of independent (predictor) variables. The procedure provides validation tools for exploratory and confirmatory classification analysis. This ... See full document
9
Spam Mail Filtering Technique using Different Decision Tree Classifiers through Data Mining Approach A Comparative Performance Analysis
... The rules are framed by analyzing the mail header information, keyword matching and the body of the message. The score assigned is 0 if the rule verifies to be false, else 1. There are number of rules framed by ... See full document
6
A Data Mining Approach for Intrusion Detection System Using Boosted Decision Tree Approach
... many data mining algorithms have become very popular for classifying intrusion detection datasets such as decision tree, naïve Bayesian classifier, neural network, genetic algorithm, ... See full document
5
Intrusion Detection Using Decision Tree Based Data Mining Technique
... used data mining approach to intrusion ...intrusion detection systems and presents a way to identify patterns of harmful attacks by training the system on a database and testing the ... See full document
7
1. A hybrid e-mail spam filtering technique using data mining approach
... the mail set is pre- training ...of mail set, which consumes a lot of human and financial resources and affects the efficiency of the ...the decision tree of the attribute sets dependence in ... See full document
8
Data Mining Based Online Intrusion Detection
... intrusion detection will be together sufficient “normal” and “abnormal” audit data for a user or a ...important approach is clustering which maps data items into groups according to similarity ... See full document
5
The Detection of Suspicious Email Based on Decision Tree
... challenge. Data mining is a powerful tool that enables criminal investigators who may lack extensive training as data analyst to explore large databases quickly and ...rule mining to task of ... See full document
5
A New Decision Tree Approach to Image Data Mining and Segmentation
... input data, i.e., image. As we are proposing a general image mining and image processing framework and any existing decision tree algorithms can be used to do the job, we show only the testing ... See full document
10
Adaptive Random Decision Tree: A New Approach for Data Mining with Privacy Preserving
... Data Mining is the process of discovering interesting patterns, information and knowledge from large ...allows data analysis while preserving data privacy and data ...utility. ... See full document
7
Detection of Intrusion Using Decision Tree Based Data Mining Technique
... J48 decision tree ...the data mining and machine learning research ...for data mining and machine ...of data mining can likewise utilize this product effortlessly ... See full document
7
Prediction of Heart Disease using Decision Tree a Data Mining Technique
... different data mining techniques to help health care professionals with improved accuracy in the diagnosis of heart disease using neural network, Naive Bayes, Genetic algorithm and Decision ... See full document
8
Detection and Analysis of Crime Patterns using Apriori Algorithm
... A data mining tool for the detection of suspicious criminal activities based on decision tree” [1], “Association bundle- a new pattern for association analysis [2]”, ”Enhancing ... See full document
5
AN ENHANCED RULE APPROACH FOR NETWORK INTRUSION DETECTION USING EFFICIENT DATA ADAPTED DECISION TREE ALGORITHM
... Misuse detection compares the upcoming network traffic to the database of known attack with the help of signatures to detect ...anomaly detection approach creates a profile (normal) based on the ... See full document
8
Improved Intrusion Detection System using C4.5 Decision Tree and Support Vector Machine
... intrusion detection has become the mainstream of information ...intrusion detection system (IDS). Data mining techniques are a new approach for Intrusion ...good detection rate ... See full document
5
Detection of Fraud Transactions Using Recurrent Neural Network during COVID-19
... transactions data that was done in his/her previous ...For detection of fraud during COVID-19, banks and credit card companies are applying various methods such as data mining , ... See full document
8
Data Mining Techniques in Parallel Environment A Comprehensive Survey
... growing data in different databases. This data can be of any type, this data may be either transactional database like payroll, sales, accounting ...analytical data which is helpful in ... See full document
6
An Efficient Approach for Privacy Preserving Data Mining Based on Random Decision Tree
... of data for different organizations are very important because to expand their business they have to share information without loosing their privacy for sensitive ...sensitive data .ID3 algorithm is used ... See full document
6
Data Mining for Detecting E-learning Courses Anomalies: An Application of Decision Tree Algorithm
... supervised data mining has been widely used in many domains through a set of relevant classification methods such as; Genetic algorithm, KNN algorithm, artificial neural network and (DT) ...and ... See full document
8
Comparison of Classification Models for Breast Cancer Identification using Google Colab
... Abstract: Classification algorithms are very widely used algorithms for the study of various categories of data located in multiple databases that have real-world implementations. The main purpose of this research ... See full document
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