Coefficient of Variation and Machine Learning Applications
暫譯: 變異係數與機器學習應用

變異係數 (Coefficient of Variation, CV) 是一個無單位的指標，用來表示與現實世界過程相關數據的一致性，並且易於融入計算範式。本書提供了計算策略、CV 的特性以及提取元數據以實現高效知識表示的必要介紹。它還通過示例說明編纂了基於 CV 的表示和分類策略。在當代機器學習策略和大數據範式的背景下，通過選定的應用展示了 CV 的潛在特性。總體而言，本書解釋了統計參數和知識表示模型。

K. Himabindu is alumni of NIT- Warangal, JNTU- Hyderabad, and University of Hyderabad. She has a decade of experience in Data Mining and Machine Learning. She is currently working as a Professor in Vishnu Institute of Technology, Bhimavaram and working on a Big Data project sanctioned by Science and Research Board, Government of India. Teaching is her passion and Educational Data Mining is her current research interest.
M Raghava obtained his M. Tech from Mysore University during 2003. He received his PhD from University of Hyderabad. He started his engineering teaching career in CVR College of Engineering, Hyderabad, during 2003 and successfully handled various courses related to Systems Engineering, Neural Networks, Data Engineering and Linux Internals. Currently he is serving as a Professor in CVR College of Engineering, Hyderabad. His areas of interests include Computer Vision, Regularization Theory, Sparse Representations and Graphical Models.
Nilanjan Dey received his Ph. D. Degree from Jadavpur University, India, in 2015. He is an Assistant Professor in the Department of Information Technology, Techno India College of Technology, Kolkata, W.B., India. He holds an honorary position of Visiting Scientist at Global Biomedical Technologies Inc., CA, USA and Research Scientist of Laboratory of Applied Mathematical Modeling in Human Physiology, Territorial Organization of- Scientific and Engineering Unions, Bulgaria. Associate Researcher of Laboratoire RIADI, University of Manouba, Tunisia. He is the associated Member of University of Reading, London, UK and Scientific Member of - Politécnica of Porto. His research topic is Medical Imaging, Data mining, Machine learning, Computer Aided Diagnosis, Atherosclerosis etc. He is the Editor-in-Chief of International Journal of Ambient Computing and Intelligence (IGI Global), US, International Journal of Rough Sets and Data Analysis (IGI Global), US, the International Journal of Synthetic Emotions (IGI Global), US, (Co-EinC) and International Journal of Natural Computing Research
(IGI Global) (Co-EinC), US. Series Co-Editor of Advances in Ubiquitous Sensing Applications for Healthcare (AUSAH), Elsevier, Series Editor of Computational Intelligence in Engineering Problem Solving and Intelligent Signal processing and data analysis, CRC Press and Advances in Geospatial Technologies (AGT) Book Series, (IGI Global), US, Executive Editor of International Journal of Image Mining (IJIM), Inderscience, Associated Editor of IEEE Access and International Journal of Information Technology, Springer. He has 20 books and more than 250 research articles in peer reviewed journals and international conferences. He is the organizing committee member
of several international conferences including ITITS, W4C, ICMIR, FICTA, ICICT etc.
C. Raghavendra Rao, Completed his B. Sc, M. Sc. in Statistics from Andhra University and Osmania University respectively. He obtained his Ph. D. in Statistics and M.Tech (CS & Engineering) from Osmania University. He started his carrier as a lecturer in Statistics at Osmania University in 1984. Since 1986, he has been working in the School of Mathematics and Computer/Information Sciences, University of Hyderabad. Presently he is a Professor in the School of Computer and Information Sciences, University of Hyderabad. His current research interests are Simulation & Modeling, Data Analytics, Rough Sets and Knowledge Discovery.
Dr Rao is a member of the Operation Research Society of India, Indian Mathematical Society, International Association of Engineers, Society for development of statistics, Andhra Pradesh Society for Mathematical Sciences, Indian Society for Probability and Statistics, Society for High Energy Materials, International Rough Set Society, Indian Society for Rough Sets, ACM and also a Fellow of The Institution of Electronics and Telecommunication Engineers, Society for Sciences and Andhra Pradesh Academy of Science. Dr Rao Guided 13 PhDs, 55 M. Tech, 8 M.Phils. Nearly 65 Journal and 85 Proceeding Papers to his credit.

K. Himabindu 是 NIT-Warangal、JNTU-Hyderabad 和海德拉巴大學的校友。她在資料探勘和機器學習方面擁有十年的經驗。她目前在 Bhimavaram 的 Vishnu Institute of Technology 擔任教授，並參與由印度政府科學與研究委員會批准的巨量資料專案。教學是她的熱情，而教育資料探勘是她目前的研究興趣。

M Raghava 於 2003 年在邁索爾大學獲得碩士學位。他在海德拉巴大學獲得博士學位。他於 2003 年開始在海德拉巴的 CVR 工程學院從事工程教學，成功教授與系統工程、神經網路、資料工程和 Linux 內部結構相關的各種課程。目前，他在 CVR 工程學院擔任教授。他的研究興趣包括計算機視覺、正則化理論、稀疏表示和圖形模型。

Nilanjan Dey 於 2015 年在印度賈達布爾大學獲得博士學位。他是印度西孟加拉邦加爾各答 Techno India College of Technology 資訊技術系的助理教授。他在美國加州的 Global Biomedical Technologies Inc. 擔任訪問科學家的榮譽職位，並在保加利亞科學與工程聯盟的應用數學建模實驗室擔任研究科學家。他是突尼西亞馬努巴大學 RIADI 實驗室的副研究員。他是英國倫敦雷丁大學的相關成員，以及葡萄牙波爾圖理工學院的科學成員。他的研究主題包括醫學影像、資料探勘、機器學習、計算機輔助診斷、動脈硬化等。他是國際環境計算與智慧期刊（IGI Global）、國際粗集與資料分析期刊（IGI Global）、國際合成情感期刊（IGI Global）（共同主編）和國際自然計算研究期刊（IGI Global）（共同主編）的主編。他是《醫療保健中普遍感知應用的進展》（AUSAH，Elsevier）系列的共同編輯、《工程問題解決中的計算智慧與智能信號處理及資料分析》（CRC Press）和《地理空間技術進展》（AGT）書系列（IGI Global）的系列編輯，國際影像挖掘期刊（IJIM，Inderscience）的執行編輯，IEEE Access 和國際資訊技術期刊（Springer）的副編輯。他擁有 20 本書籍和超過 250 篇在同行評審期刊及國際會議上發表的研究文章。他是多個國際會議的組織委員會成員，包括 ITITS、W4C、ICMIR、FICTA、ICICT 等。

C. Raghavendra Rao 於安得拉大學和奧斯曼尼亞大學分別獲得統計學的學士和碩士學位。他在奧斯曼尼亞大學獲得統計學博士學位和碩士學位（計算機科學與工程）。他於 1984 年在奧斯曼尼亞大學開始擔任統計學講師。自 1986 年以來，他一直在海德拉巴大學的數學與計算機/資訊科學學院工作。目前，他是海德拉巴大學計算機與資訊科學學院的教授。他目前的研究興趣包括模擬與建模、資料分析、粗集和知識發現。

Rao 博士是印度運籌學會、印度數學學會、國際工程師協會、統計發展協會、安得拉邦數學科學學會、印度機率與統計學會、高能材料學會、國際粗集學會、印度粗集學會、ACM 的成員，並且是電子與電信工程師學會、科學學會和安得拉邦科學學院的院士。Rao 博士指導了 13 位博士生、55 位碩士生和 8 位碩士研究生，並發表了近 65 篇期刊文章和 85 篇會議論文。