Artificial Intelligence: A Textbook
暫譯: 人工智慧：教科書

1 人工智慧簡介
2 狀態空間搜尋
3 多代理搜尋
4 命題邏輯
5 一階邏輯
6 機器學習：歸納觀點
7 神經網絡
8 特定領域的神經架構
9 無監督學習
10 強化學習
11 機率圖模型
12 知識圖譜
13 整合推理與學習

Charu C. Aggarwal is a Distinguished Research Staff Member (DRSM) at the IBM T. J. Watson Research Center in Yorktown Heights, New York. He completed his undergraduate degree in Computer Science from the Indian Institute of Technology at Kanpur in 1993 and his Ph.D. from the Massachusetts Institute of Technology in 1996. He has worked extensively in the field of data mining. He has published more than 400 papers in refereed conferences and journals and authored over 80 patents. He is the author or editor of 19 books, including textbooks on data mining, recommender systems, and outlier analysis. Because of the commercial value of his patents, he has thrice been designated a Master Inventor at IBM. He is a recipient of an IBM Corporate Award (2003) for his work on bio-terrorist threat detection in data streams, a recipient of the IBM Outstanding Innovation Award (2008) for his scientific contributions to privacy technology, and a recipient of two IBM Outstanding Technical Achievement Awards (2009, 2015) for his work on data streams/high-dimensional data. He received the EDBT 2014 Test of Time Award for his work on condensation-based privacy-preserving data mining. He is also a recipient of the IEEE ICDM Research Contributions Award (2015) and the ACM SIGKDD Innovations Award (2019), which are the two highest awards for influential research contributions in data mining.
He has served as the general co-chair of the IEEE Big Data Conference (2014) and as the program co-chair of the ACM CIKM Conference (2015), the IEEE ICDM Conference (2015), and the ACM KDD Conference (2016). He served as an associate editor of the IEEE Transactions on Knowledge and Data Engineering from 2004 to 2008. He is an associate editor of the IEEE Transactions on Big Data, an action editor of the Data Mining and Knowledge Discovery Journal, and an associate editor of the Knowledge and Information Systems Journal. He serves as the editor-in-chief of the ACM Transactions on Knowledge Discovery from Data as well as the ACM SIGKDD Explorations. He serves on the advisory board of the Lecture Notes on Social Networks, a publication by Springer. He has served as the vice-president of the SIAM Activity Group on Data Mining and is a member of the SIAM industry committee. He is a fellow of the SIAM, ACM, and the IEEE, for "contributions to knowledge discovery and data mining algorithms."

Charu C. Aggarwal 是位於紐約約克鎮的 IBM T. J. Watson 研究中心的傑出研究人員 (Distinguished Research Staff Member, DRSM)。他於 1993 年在印度理工學院坎普爾校區獲得計算機科學學士學位，並於 1996 年在麻省理工學院獲得博士學位。他在資料挖掘領域有廣泛的研究經驗，已在經過審核的會議和期刊上發表了超過 400 篇論文，並擁有超過 80 項專利。他是 19 本書籍的作者或編輯，包括資料挖掘、推薦系統和異常分析的教科書。由於其專利的商業價值，他三度被 IBM 指定為大師發明家 (Master Inventor)。他因在資料流中的生物恐怖威脅檢測方面的工作而獲得 IBM 企業獎 (2003)，因對隱私技術的科學貢獻而獲得 IBM 傑出創新獎 (2008)，以及因在資料流/高維資料方面的工作而獲得兩次 IBM 傑出技術成就獎 (2009, 2015)。他因在基於凝聚的隱私保護資料挖掘方面的工作而獲得 EDBT 2014 時間考驗獎。他還獲得了 IEEE ICDM 研究貢獻獎 (2015) 和 ACM SIGKDD 創新獎 (2019)，這是資料挖掘領域影響力研究貢獻的兩項最高獎項。

他曾擔任 IEEE 大數據會議 (2014) 的共同主席，以及 ACM CIKM 會議 (2015)、IEEE ICDM 會議 (2015) 和 ACM KDD 會議 (2016) 的程式共同主席。他於 2004 年至 2008 年擔任 IEEE 知識與資料工程期刊的副編輯，目前是 IEEE 大數據期刊的副編輯、資料挖掘與知識發現期刊的行動編輯，以及知識與資訊系統期刊的副編輯。他擔任 ACM 資料知識發現期刊和 ACM SIGKDD 探索的主編。他還擔任 Springer 出版的社交網絡講義的顧問委員會成員。他曾擔任 SIAM 資料挖掘活動小組的副主席，並且是 SIAM 工業委員會的成員。他是 SIAM、ACM 和 IEEE 的會士，因其對知識發現和資料挖掘演算法的貢獻而獲得此榮譽。