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A New Theoretical Framework for K-Means-Type Clustering
One of the fundamental clustering problems is to assign n points into k clusters based on the minimal sum-of-squares(MSSC), which is known to be...
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The Mathematics of Learning: Dealing with Data *
Learning is key to develo** systems tailored to a broad range of data analysis and information extraction tasks. We outline the mathematical...
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Web Page Classification*
This chapter describes systems that automatically classify web pages into meaningful categories. It first defines two types of web page...
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Clustering Via Decision Tree Construction
Clustering is an exploratory data analysis task. It aims to find the intrinsic structure of data by organizing data objects into similarity groups or...
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Sequential Pattern Mining by Pattern-Growth: Principles and Extensions*
Sequential pattern mining is an important data mining problem with broad applications. However, it is also a challenging problem since the mining may...
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Incremental Mining on Association Rules
The discovery of association rules has been known to be useful in selective marketing, decision analysis, and business management. An important...
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A Feature/Attribute Theory for Association Mining and Constructing the Complete Feature Set
A correct selection of features (attributes) is vital in data mining. For this aim, the complete set of features is constructed. Here are some...
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Web Mining – Concepts, Applications and Research Directions
From its very beginning, the potential of extracting valuable knowledge from the Web has been quite evident. Web mining, i.e. the application of data...
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Mining Association Rules from Tabular Data Guided by Maximal Frequent Itemsets
We propose the use of maximal frequent itemsets (MFIs) to derive association rules from tabular datasets. We first present an efficient method to...
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Privacy-Preserving Data Mining
The growth of data mining has raised concerns among privacy advocates. Some of this is based on a misunderstanding of what data mining does. The...
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Logical Regression Analysis: From Mathematical Formulas to Linguistic Rules
Data mining means the discovery of knowledge from (a large amount of)data, and so data mining should provide not only predictions but also knowledge...
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Date and Time Functions
In the ever-evolving landscape of data analysis and manipulation, time stands as an unyielding dimension. From sales records stamped with precise...
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Text Functions
In the realm of data transformation and manipulation, text data stands as a foundational building block. Whether dealing with customer names, product...
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List Functions
In the vast landscape of data manipulation, individual data points often weave together to create a larger narrative. This is where the power of...
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Securing IoT Using Supervised Machine Learning
IoT today is ubiquitous. Its growth has reached a stage where the number of connected devices is growing exponentially daily, raising various...
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Malnutrition Detection Analysis and Nutritional Treatment Using Ensemble Learning
Malnutrition is a condition that arises when an individual’s diet contains excessive amounts of certain nutrients or insufficient amounts of one or...
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Emoji Based Sentiment Classification Using Machine Learning Approach
Online media platforms like Facebook, Twitter, and Instagram continue to influence our world. People today are more closely connected than ever...
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DDoS Attack Detection in IoT Environment Using Crystal Optimized Deep Neural Network
Internet of Things (IoT) is the interconnection of many devices through the internet for different real-time applications. One of the major issues of...
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Predictive Load Management Using IoT and Data Analytics
The objective of this paper is to design and implement an Internet of Things (IoT) based energy data acquisition system that incorporates a Long...
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An Enhanced PSO-Based Energy Efficient Clustering Routing Algorithm for Wireless Sensor Network
Wireless Sensor Network (WSN) comprises of a lot of sensor nodes which are implanted in an application system to track hardware elements in a...