參考文獻
一、中文部分
丁秀儀(2009)。公司治理是否受到機構投資人的青睞。管理學報, 26(3), 233-253。中華民國人口推計(2014) 。http://www.ndc.gov.tw/Content_List.aspx?n=84223C65B6F94D72。行政院國家發展委員會。
方俊儒、李秀英與龍春伶(2008)。獨立董監事對公司績效與盈餘品質之影響-控制股東之調節效果。會計與公司治理, 5(1), 55-80。尹相志(2009)。 SQL Server 2008 Data Mining 資料採礦。悅知文化。
吳芳綾與劉秀雯(2015)。基於產品比較紀錄的汽車資訊行動APP 推薦系統之研究,第18屆科際整合管理研討會, 40-49 。
李伶珠(2013)。影響董事會獨立性之決定因素。國立屏東商業技術學院學報, 15, 121-148。林家靜(2004)。公司治理、盈餘管理與投資人報酬之關連性研究。國立政治大學會計研究所碩士論文,未出版,臺北市。金成隆與陳美惠(2012)。高等財務會計研究理論與實證。台中市:滄海書局。
范宏書、林彥廷與陳慶隆(2015)。實質盈餘管理對會計資訊價值攸關性之影響,臺大管理論叢, 25(3), 163-196范宏書、陳慶隆與廖英任(2008) 。盈餘管理對會計資訊的相對價值攸關性之影響,管理與系統, 15(1), 93-136。
高蘭芬(2002)。董監事股權質押對會計資訊與公司績效之影響。國立成功大學會計學系博士論文,未出版,臺南市。張文瀞、周玲臺與林修葳(2003)。內部人持股連續變動公司之盈餘管理行為特性,會計評論, 37, 53-83。曹壽民與林哲弘(2012)。家族企業與自願性財務預測。會計學報, 4(2), 71-113。
許永聲與劉政淮(2005)。盈餘的資訊品質對盈餘管理行為的影響。管理與系統,12(1),1-22。
陳彥銘(2012)。上市公司持股成數規定對績效之探討。國立政治大學企業管理研究所碩士論文,未出版,臺北市。陳慶隆與林品妤(2015) Real Earnings Management and Subsequent Accounting Performance: The Moderating Role of Corporate Governance。會計評論, 61(2), 1-36。
曾乾豪、張瑀珊與薛敏正(2012)。個別會計師查核簽證家數與企業盈餘品質。中華會計學刊, 8(2), 217-256。湯麗芬(2010)。家族企業特質與盈餘品質之關聯性。當代會計, 11, 371-410。
黃寶玉、倪衍森與柯沂均(2013)。台灣電子業公司治理與盈餘管理對公司績效之影響。中華管理評論國際學報, 16(1), 1-28。葉銀華、李存修與柯承恩(2002)。公司治理與評等系統(第一版)。臺北市:商智文化事業股份有限公司。
廖秀梅、李建然與吳祥華(2006)。東吳經濟商學學報, 54, 117-160。
廖思瑋(2007)。股權結構特性對高階經理人獎酬與盈餘品質關聯性影響之探討。國立政治大學會計研究所學位論文,未出版,臺北市。
廖述賢與溫志皓(2012)。資料探勘理論與應用。新北市:博碩文化。
劉怡汝(2008)。董事會規模縮減對公司經營績效之影響。國立中興大學會計學研究所,未出版,臺中市。
蔡柳卿與楊怡芳(2006) 。公司治理與符合績效門檻盈餘管理行為之關連性研究。東吳經濟商學學報, 53, 33-72。
薛健宏(2008)。董監持股、盈餘平穩化與企業風險之關連性研究。會計評論, 46, 107-130。
譚中岳、陳秋玲、鄭宇婷、陳玲玉與陳怡蓁(2015)。生物技術產業年鑑。臺北市:生物技術開發中心。
二、英文部分
Agrawal, R., and R. Srikant. 1994. Fast algorithms for mining association rules in large database. Proceedings of the 20th International Conference on Very Large Databases: 487-499.
Agrawal, R., Imielinksi, T., and A. Swami. 1993. Mining Association Rules between Sets of Items in Large Database. The 1993 ACM SIGMOD Conference, Washington DC, USA.
Ball, R., and L.Shivakumar. 2006. The role of accruals in asymmetrically timely gain and loss recognition. Journal of Accounting Research 44 (2): 207-242.
Ball, R., and P. Brown. 1968. An empirical evaluation of accounting income numbers. Journal of Accounting Research 6 (2): 159-178.
Basu, S. 1997. The conservatism principle and the asymmetric timeliness of earnings. Journal of Accounting and Economics 24: 3-37.
Baver, W. R., S-H. Kang, and K. R. Kumar. 1998. Accounting earnings and executive compensation: The role of earnings persistence. Journal of Accounting and Economics 25: 169-193.
Beaver, W., M. McNichols, and K. Nelson. 2007. An alternative interpretation of the discontinuity in earnings distributions. Review of Accounting Studies 12: 525-556.
Berry, M. J., and G. Linoff. 1997. Data Mining Techniques for Marketing. Wiley Press.
F. H. Chen, D. J. Chi, and Y.C. Wang. 2015. Detecting biotechnology industry's earnings management using bayesian network, principal component analysis, back propagation neural network, and decision tree. Economic Modelling 46: 1-10.
Collins, D.W., and S. Kothari. 1989. An analysis of intertemporal and cross sectional determinants of earnings response coefficients. Journal of Accounting and Economics 11: 143-182.
Curt, H.1995. The devil's in the detail: techniques, tools, and application for database mining and knowledge discovery-Part 1. Intelligent Software Strategies 6 (9): 1-15.
DeAngelo, L. E. 1986. Accounting numbers as market valuation substitutes: A study Of management buyout of public stockholders. The Accounting Review 61 (July): 400-420.
Dechow, M., and C. Schrand. 2004. Earnings quality. New York: The Research Foundation of CFA Institute.
Dechow, P. M., Sloan R. G. and A. Sweeney. 1996. Cause and consequence of earnings manipulation: An analysis of firms subject to enforcement actions by the SEC. Contemporary Accounting Research 13: 1-36.
Dechow, P., and I. Dichev. 2002. The quality of accruals and earnings: the role of accrual estimation errors. The Accounting Review 77: 35-59.
Dechow, P., R.G. Sloan, and A. P. Sweeney.1995. Detecting earnings management. The Accounting Review 70: 193- 225.
Dechow, P.M., W. GE, and C. Schrand. 2010. Understanding earnings quality: a review of the proxies, their determinants and their consequences. Journal of Accounting and Economics 50: 344-401.
Fayyad, U., Piatetsky-Shapiro, G., and P. Smyth. 1996. From data mining to knowledge discovery in databases. AI Magazine 17 (3): 37-54.
Fayyad, U., and P. Stolorz. 1997. Data mining and KDD: promise and challenges. Future Generation Computer Systems 13: 99-115.
Felo, A. J., Krishnamurthy, S and S. A. Solieri. 2003. Audit committee characteristics and the perceived quality of financial reporting : an empirical analysis. working paper, Penn State Great Valley.
Gul, F. A., Leung, S., and B. Srinidhi. 2003. Informative and opportunistic earnings management and the value relevance of earnings: some evidence on the role of IOS. Working Paper, City University of Hong Kong.
Healy, P. M. and Wahlen, J. M. 1999. A review of the earnings management literature and its implications for standard setting. Accounting Horizons 13 (4): 365-383.
Healy, P. M.1985. The effect of bonus schemes on accounting decisions. Journal of Accounting and Economics 7: 85-107.
Jaggi, Bikki and Leung, Sidney and Gul, Ferdinand. 2009. Family control, board independence and earnings management: evidence based on Hong Kong firms. Journal of Accounting and Public Policy 28 (4): 281-300.
Jensen, M. C., and M. Meckling. 1976. Theory of the firm: managerial behavior, agency costs, and ownership structure. Journal of Financial Economics 3 (4): 305-360.
Jones, J. J., 1991. Earnings management during import relief investigations. Journal of Accounting Research 29 (2): 193-228.
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Klein, A. 2002. Audit committee, board of director characteristics, and earnings management. Journal of Accounting and Economics 33(3): 375-400.
Kothari, S., Leone, A. and, C. Wasley. 2005. Performance matched discretionary accrual measures. Journal of Accounting and Economics 39: 163-197.
Lin, C. Y. and Liu C. C. 2012. Effects of nonlinearity and multi-period lags on Basu(1997) measure. Journal of Financial Studies 20: 1-32.
Lin,C.C., Chiu,A.A., Huang,S.Y., D.C.Yen. 2015. Detecting the financial statement fraud: the analysis of the differences between data mining techniques and experts’ judgments. Knowledge-Based Systems 89: 459-470.
Lipton, M., J. Lorsch .1992. A model proposal for improved corporate governance, The Business Lawyer 48 : 59-77.
Shleifer, A., and R. Vishny. 1997. A survey of corporate governance. Journal of Finance 52 (2): 737-783.
Singh, H., and F. Harianto. 1989. Management-board relationships, takeover risk, and the adoption of golden parachutes. Academy of Management Journal 32 (1): 7-24.
Thearling, K. 1999. An introduction to data mining. Whitepaper. http://www.thearling.com/text/dmwhite/dmwhite.html
Trueman, B., and S.Titman.1988. An explanation for accounting income smoothing. Journal of Accounting Research 26 (Supplement): 127-139.
Tsai, C.F., and Y. J. Chiou. 2009. Earnings management prediction: A pilot study of combining neural networks and decision trees. Expert Syst. 36(3): 7183-7191.
Tucker, J., and P. Zarowin. 2006. Does income smoothing improve earnings informativeness? The Accounting Review 81(1): 251-270.
Walter, R. Teets. 2002. Quality of earnings: An introduction to the issues in accounting education special Issue. Issues in Accounting Education 17(4): 335-360.
Whelan, C., and R. McNamara. 2004. The Impact of Earnings Management on the Value-relevance of Financial Statement Information. Working Paper, Georgia College & State University, USA, and Bond University, Australia.