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Show Notes
Data Mining: Concepts and Techniques (Jiawei Han)
- Amazon USA Store: https://www.amazon.com/dp/0128117605?tag=9natree-20
- Amazon Worldwide Store: https://global.buys.trade/Data-Mining%3A-Concepts-and-Techniques-Jiawei-Han.html
- Apple Books: https://books.apple.com/us/audiobook/data-mining-the-data-mining-guide-for-beginners/id1439191620?itsct=books_box_link&itscg=30200&ls=1&at=1001l3bAw&ct=9natree
- eBay: https://www.ebay.com/sch/i.html?_nkw=Data+Mining+Concepts+and+Techniques+Jiawei+Han+&mkcid=1&mkrid=711-53200-19255-0&siteid=0&campid=5339060787&customid=9natree&toolid=10001&mkevt=1
- Read more: https://english.9natree.com/read/0128117605/
#Knowledgediscoveryfromdata #Frequentpatternmining #Associationandcorrelationanalysis #Classificationandclusteranalysis #Outlierdetectionanddeeplearning #DataMining
Data Mining: Concepts and Techniques is a technical textbook and reference work on knowledge discovery from data, written by Jiawei Han with Jian Pei and Hanghang Tong in its fourth edition. Published in the Morgan Kaufmann Series in Data Management Systems, it explains how large, varied data collections can be transformed into patterns, predictive models, and usable analytical knowledge. The book treats data mining as a full process rather than a collection of isolated algorithms: data must be prepared, represented, evaluated, and interpreted before discovered regularities can support decisions. Its coverage moves from data preprocessing, data warehousing, and multidimensional analysis to frequent pattern mining, classification, clustering, outlier detection, and newer machine learning approaches including deep learning. Attention to computational feasibility is central throughout, reflecting the challenges posed by large scale and complex data. The result is not a lightweight software manual, but a structured account of the concepts, methods, and tradeoffs that underpin modern data mining practice and research.
- Amazon USA Store: https://www.amazon.com/dp/0128117605?tag=9natree-20
- Amazon Worldwide Store: https://global.buys.trade/Data-Mining%3A-Concepts-and-Techniques-Jiawei-Han.html
- Apple Books: https://books.apple.com/us/audiobook/data-mining-the-data-mining-guide-for-beginners/id1439191620?itsct=books_box_link&itscg=30200&ls=1&at=1001l3bAw&ct=9natree
- eBay: https://www.ebay.com/sch/i.html?_nkw=Data+Mining+Concepts+and+Techniques+Jiawei+Han+&mkcid=1&mkrid=711-53200-19255-0&siteid=0&campid=5339060787&customid=9natree&toolid=10001&mkevt=1
- Read more: https://english.9natree.com/read/0128117605/
#Knowledgediscoveryfromdata #Frequentpatternmining #Associationandcorrelationanalysis #Classificationandclusteranalysis #Outlierdetectionanddeeplearning #DataMining
Data Mining: Concepts and Techniques is a technical textbook and reference work on knowledge discovery from data, written by Jiawei Han with Jian Pei and Hanghang Tong in its fourth edition. Published in the Morgan Kaufmann Series in Data Management Systems, it explains how large, varied data collections can be transformed into patterns, predictive models, and usable analytical knowledge. The book treats data mining as a full process rather than a collection of isolated algorithms: data must be prepared, represented, evaluated, and interpreted before discovered regularities can support decisions. Its coverage moves from data preprocessing, data warehousing, and multidimensional analysis to frequent pattern mining, classification, clustering, outlier detection, and newer machine learning approaches including deep learning. Attention to computational feasibility is central throughout, reflecting the challenges posed by large scale and complex data. The result is not a lightweight software manual, but a structured account of the concepts, methods, and tradeoffs that underpin modern data mining practice and research.
