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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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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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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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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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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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Multi-environment Audio Dataset Using RPi-Based Sound Logger
Rapid urbanization has led us being surrounded by many machines in our homes, workplaces, and neighborhood. These machines create assorted noises...
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Local Database Connectivity and UI Design for the Smart Automated Cooker
In today’s technologically advanced world with modern wireless systems, everyone is in the need of smart and intelligent tools. As a result, smart...
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Multitudinous Disease Forecasting Using Extreme Learning Machine
In today's world, Machine learning and Artificial intelligence are applied to a wide range of healthcare services. Predictive modeling is implemented...
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An Attribute Selection Using Propagation-Based Neural Networks with an Improved Cuckoo-Search Algorithm
Sentiment Analysis is getting an area of implication of the researchers in the business as well as in the research. To know about the opinions of...
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Towards Better English to Bharti Braille Neural Machine Translation Through Improved Name Entity Translation
In this paper, the expansion of English to Bharti Braille neural machine translation system has been carried out. It is shown how a baseline Neural...
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Leveraging Semantic Search and LLMs for Domain-Adaptive Information Retrieval
The rapid growth of digital information and the increasing complexity of user queries have made traditional search methods less effective in the...
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Access Control Approach for Controller Management Platforms
Controller management platforms are part of the rapidly growing IoT infrastructure. Platforms manage physical devices and collect, process and...
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Modelling Normative Financial Processes with Process Mining
Financial processes are complex procedures related to financial data recording and analysis. Compliance of these processes with the normative rules...
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Sentiment Analysis of Lithuanian Youth Subcultures Zines Using Automatic Machine Translation
Automatic sentiment analysis is an important technique having a significant impact on many businesses and other fields. Well known fact is that...