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Web Mining
The World Wide Web allows users and organizations to publish information and documents, which are instantly available for all other users of the Web....
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Cross-media web video event mining based on multiple semantic-paths embedding
Web video event mining based on cross-media fusion has become a research hotspot. However, each video is only described by a dozen noisy words,...
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An Efficient Framework for Web Content Mining Systems Using Improved CD-PAM Clustering and the A-CNN Technique
The World Wide Web's expansion (WWW) has made finding appropriate information difficult, and web classification has emerged as an alternative...
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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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Artificial intelligence trend analysis in German business and politics: a web mining approach
Current research on trend detection in artificial intelligence (AI) mainly concerns academic data sources and industrial applications of AI. However,...
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Cross-media correlation learning for web video event mining with integrated text semantics and network structural information
Recently, cross-media web video event mining based on heterogeneous information networks (HIN) has attracted extensive attention. However, each web...
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MinerAlert: an hybrid approach for web mining detection
The introduction of new memory-based crypto-mining techniques and the rise of new web technologies like WebAssembly, made the use of browsers for...
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An Exploratory Study on Utilising the Web of Linked Data for Product Data Mining
The Linked Open Data practice has led to a significant growth of structured data on the Web. While this has created an unprecedented opportunity for...
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Application of Web Data Mining Algorithms in Information Management Education
How to quickly retrieve the required information from the vast data information needs web data mining technology. Its algorithm and its application...
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An efficient and scalable dynamic session identification framework for web usage mining
Session identification is an essential component for determining usage patterns from web trace log files. Several papers have reported dynamic log...
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WebHOLE: Develo** a web-based hands-on learning environment to assist beginners in learning web application security
With the rapid growth of web applications, web application security (WAS) has become an important cybersecurity issue. For effective WAS protection,...
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Deep learning model for recommendation system using web of things based knowledge graph mining
Recent developments in research have shown that knowledge graphs (KG) are successful in supplying useful external knowledge to enhance recommendation...
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Web Mining for Estimating Regulatory Blockchain Readiness
The regulatory landscape for cryptocurrencies and blockchain tokens is a critical factor sha** business decisions and opportunities. This study...
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A CNN based real-time eye tracker for web mining applications
Eye gaze tracking is an increasingly important technology in the field of human-computer interaction. Individuals’ preferences, tendencies, and...
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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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High utility itemsets mining from transactional databases: a survey
AbstractMining high utility itemsets are the basic task in the area of frequent itemset mining (FIM) that has various applications in diverse...
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Web Usage Mining for Determining a Website’s Usage Pattern: A Case Study of Government Website
Web usage mining is a crucial research area that aims to uncover user behavior patterns from web log data because web usage mining can be used to...
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Literature review on Intention Mining-oriented Process Mining in information system
Process Mining focused only on the activity-oriented process and neglected the users’ behaviors behind the activities, which led to overlooking the...
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Image-based random rotation for preserving the data in data mining process
The privacy and security of big data have become a major concern in recent years, necessitating privacy-preserving data mining strategies to preserve...
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Text mining of veterinary forums for epidemiological surveillance supplementation
Web scra** and text mining are popular computer science methods deployed by public health researchers to augment traditional epidemiological...
