Practical Data Mining Techniques and Applications
暫譯: 實用資料探勘技術與應用

資料探勘技術和演算法被廣泛應用於構建現實世界的應用程式。可以採用實用的方法來應用資料探勘技術以構建應用程式。一旦部署，應用程式使開發人員能夠專注於用戶的目標，並根據用戶的觀點調整演算法。

《實用資料探勘技術與應用》專注於與資料探勘相關的各種概念，以及這些技術如何用於開發和部署應用程式。本書系統性地組合了資料探勘的基本概念，並融合了實用應用。這本書的目的是提供實用資料探勘應用和技術的訪問，幫助讀者理解資料探勘的實踐。讀者還將學習相關技術和演算法如何應用於解決問題，並為不同領域的現實世界應用提供解決方案。本書可以幫助學術界擴展他們對該領域的知識，以及對基於不同技術的應用的理解，以獲得更深入的見解。它也可以幫助研究人員深入探討現實世界的應用。計算機科學學生、應用程式開發人員和商業專業人士也可能從這本對應用資料科學技術的研究中受益。

通過突顯該領域的整體圖景，介紹各種探勘技術，並專注於使用這些方法的不同應用和研究方向，本書可以激發學術界、研究人員、專業人士和學生之間的討論，交流和發展他們對資料探勘這一動態領域的看法。

Dr. Ketan Shah, Head of Information Technology Department, at SVKM's NMIMS - Mukesh Patel School of Technology Management and Engineering (MPSTME). He also holds the additional responsibility of Associate Dean (Accreditations) at MPSTME. In this role, he has successfully spearheaded the ABET accreditation of five programs at MPSTME. All the five programs have got ABET accreditation for six years up to 2026. He has his Bachelors and Master Degree in Electronics Engineering from Mumbai University and PhD in Engineering from NMIMS. He has 23 years of teaching experience and has taught undergraduate and postgraduate students. He has also guided 5 doctoral students who have successfully completed their PhD. His research area is Data Mining. He has 15 Journal papers and 25 conference papers to his credit.

Dr. Neepa Shah, Ex-Head of Information Technology Department, at Dwarkadas J. Sanghvi College of Engineering, Mumbai University. She is devoted to education, and always interested in applying new things. She graduated in the year 2001 from Pune University, completed her M. Tech. in 2008, and PhD in the year 2017 and has teaching experience of 20+ years (since 2001). Along with teaching different subjects and guiding students for placement and higher studies, she has played different roles simultaneously. To mention a few, vice-chair of software team, admission committee, program chair for NBA committee, technical chair for the international conference, ICACTA and DJ ASCII-State level project competition, and many more. She has also implemented a few inhouse software for DJSCE. She is a registered and recognized coach for the International Collegiate Programming Competition (ACM-ICPC) since 2006. She has also participated in 50+ workshops and STTPs. She has published 30+ papers in various international and national journals / conferences. She has received Research Grant in a. y. 2015-16 from University of Mumbai of Amount Rs. 25,000/-. She is also an award winner of "BEST FACULTY" in 2008. Her areas of specialization include Data Mining, Semantics, Natural Language Processing, Parallel Computing, and Distributed Systems. She has delivered special talks on advanced algorithms, semantics, and distributed document clustering in a few institutes.

Dr. Vinaya Sawant, Head of Information Technology Department of Dwarkadas J. Sanghvi College of Engineering, Mumbai University, possesses an experience of 19 years in teaching subjects such as Database Management Systems, Advanced Databases, Data Warehousing and Mining, Data Analytics, Distributed Systems, Image Processing. Apart from academic activities, she is also involved in administrative committees at the college level as well as actively interacted outside college in many ways. She was invited as reviewers in many International Conferences. Also, she has conducted many guest lectures in other Universities. She has successfully completed her Masters (M. Tech) in Computer Engineering in 2010 from NMIMS University and secured first place at the University level. She then completed her PhD degree from the same University, in the year 2020. Her research is directed towards proposing and implementing the distributed data mining algorithms that aims to reduce the execution time and communication overhead in a distributed environment, effectively and efficiently. Her work is highlighted in 25+ recognized international publications (Scopus indexed) such as IEEE, Elsevier, Springer, etc. Her active participation in conferences shows her ability to work in the current research areas and diving deep into it. She is more inclined towards the current trends of applied data mining and interested in contributing to that direction.

Dr. Neeraj Parolia is an Associate Professor in the Business Analytics and Technology Management Department at Towson University. He received his PhD from the University of Central Florida. His research interests include IT Project and Program Management. His research has been published in Information and Management, International Journal of Project Management, Information and Software Technology, Electronic Journal of Information Systems Evaluation, International Journal of Information Technology Project Management and International Journal of Project Organization and Management. Neeraj is an active participant in the AIS SIG of Information Technology Project Management and has served on the board of the American Society for the Advancement of Project Management as Director of Education.

Dr. Ketan Shah，SVKM的NMIMS - Mukesh Patel科技管理與工程學院（MPSTME）資訊科技系主任。他同時擔任MPSTME的副院長（認證）一職。在此角色中，他成功主導了MPSTME五個課程的ABET認證。這五個課程均獲得了為期六年的ABET認證，直到2026年。他擁有孟買大學的電子工程學士及碩士學位，並在NMIMS獲得工程學博士學位。他擁有23年的教學經驗，曾教授本科及研究生課程。他還指導了5位成功完成博士學位的博士生。他的研究領域為資料探勘（Data Mining）。他已發表15篇期刊論文和25篇會議論文。

Dr. Neepa Shah，前孟買大學Dwarkadas J. Sanghvi工程學院資訊科技系主任。她致力於教育，並始終對應用新事物充滿興趣。她於2001年畢業於普那大學，2008年完成碩士學位（M. Tech.），並於2017年獲得博士學位，擁有超過20年的教學經驗（自2001年起）。除了教授不同科目和指導學生就業及升學外，她還同時擔任多個角色。舉幾個例子，她是軟體團隊的副主席、招生委員會成員、NBA委員會的課程主席、國際會議的技術主席、ICACTA和DJ ASCII州級專案競賽的主席等。她還為DJSCE實施了一些內部軟體。自2006年以來，她是國際大學程式設計競賽（ACM-ICPC）的註冊及認可教練。她參加了50多個工作坊和短期培訓課程（STTPs）。她在各種國際和國內期刊/會議上發表了30多篇論文。她於2015-16學年獲得孟買大學的研究補助金，金額為25,000盧比。她還於2008年獲得“最佳教師”獎。她的專業領域包括資料探勘、語意學、自然語言處理、平行計算和分散式系統。她在幾所學院就先進演算法、語意學和分散式文件聚類進行了專題演講。

Dr. Vinaya Sawant，孟買大學Dwarkadas J. Sanghvi工程學院資訊科技系主任，擁有19年的教學經驗，教授資料庫管理系統、高級資料庫、資料倉儲與探勘、資料分析、分散式系統和影像處理等科目。除了學術活動外，她還參與學院層級的行政委員會，並在校外積極互動。她曾受邀擔任多個國際會議的審稿人，並在其他大學進行多場客座講座。她於2010年在NMIMS大學成功完成計算機工程碩士學位（M. Tech），並在大學層級獲得第一名。隨後，她於2020年在同一所大學獲得博士學位。她的研究方向是提出和實施分散式資料探勘演算法，旨在有效且高效地減少分散式環境中的執行時間和通訊開銷。她的研究成果在25篇以上的國際認可出版物（Scopus索引）中被引用，如IEEE、Elsevier、Springer等。她在會議中的積極參與顯示了她在當前研究領域的工作能力，並深入探討相關主題。她更傾向於應用資料探勘的當前趨勢，並有興趣在該方向上做出貢獻。

Dr. Neeraj Parolia是Towson大學商業分析與技術管理系的副教授。他在中央佛羅里達大學獲得博士學位。他的研究興趣包括IT專案和程式管理。他的研究已發表於《Information and Management》、《International Journal of Project Management》、《Information and Software Technology》、《Electronic Journal of Information Systems Evaluation》、《International Journal of Information Technology Project Management》和《International Journal of Project Organization and Management》。Neeraj是資訊科技專案管理的AIS SIG的活躍參與者，並曾擔任美國專案管理協會教育部門的董事。