LEADER 04562oam 2200481 450 001 9910816979503321 005 20190911100039.0 010 $a1-118-93390-7 010 $a1-118-76538-9 010 $a1-118-76540-0 035 $a(OCoLC)882286646 035 $a(MiFhGG)GVRL8FMN 035 $a(EXLCZ)993710000000121747 100 $a20140616d2014 uy 0 101 0 $aeng 135 $aurun|---uuuua 181 $ctxt 182 $cc 183 $acr 200 10$aFrequently asked questions in ISAs /$fSteven Collings 210 1$aChichester, West Sussex :$cWiley,$d2014. 215 $a1 online resource (xvii, 456 pages) $cillustrations (some color) 225 0 $aGale eBooks 300 $aIncludes index. 311 $a1-118-76541-9 320 $aIncludes bibliographical references and index. 327 $aCover; Title Page; Copyright; Contents; About the Author; Acknowledgements; Preface; Foreword; Frequently Asked Questions; Introduction; Chapter 1 What is the Role of the International Auditing and Assurance Standards Board?; The Clarity Project; Introduction; Objective; Definitions; Requirements; Application and other explanatory material; ISA 260 Communication with Those Charged with Governance; ISA 265 Communicating Deficiencies in Internal Control to Those Charged with Governance and Management; ISA 450 Evaluation of Misstatements Identified During the Audit; ISA 530 Audit Sampling 327 $aISA 540 Auditing Accounting Estimates, Including Fair Value Accounting Estimates, and Related DisclosuresISA 550 Related Parties; ISA 570 Going Concern; ISA 600 Special Considerations - Audits of Group Financial Statements (Including the Work of Component Auditors); ISAs in Issue; Chapter 2 Frequently Asked Questions; Who can be an auditor and sign the auditor's report?; What are the fundamental principles of professional ethics?; Integrity; Objectivity; Professional competence and due care; Confidentiality; Professional behaviour 327 $aWhat gives rise to a threat to an auditor's independence and objectivity and how can those threats be managed?Safeguards to reduce threats to an acceptable level; What are the issues an auditor has to consider before accepting appointment as auditor and how does the auditor deal with conflicts of interest?; Conflicts of interest; Are there any rules governing the way in which fees are charged to clients?; Can a professional accountant accept gifts from a client?; What happens if family or close relationships exist between an auditor and the client? 327 $aWhat are the overall purpose and main features of an audit?Main features; Is there a difference between an internal auditor and an external auditor?; What is an 'assurance engagement'?; Audit engagement; Review engagement; Planning; Obtaining sufficient appropriate evidence; Reporting; What terms have to be agreed between an auditor and their client?; What are the responsibilities of auditors in relation to fraud?; Responsibilities of the auditor 327 $aInteraction between ISA 240 and ISA 315 Identifying and Assessing the Risks of Material Misstatement through Understanding the Entity and its EnvironmentFraudulent financial reporting; Audit procedures in relation to fraud; How do accounting standards interact with the work of an auditor?; Planning; During the audit; Pre-completion stage of the audit; Who inspects the work the auditor does to ensure they are doing it correctly?; Other non-regulatory inspections; Whatare a 'hot' and a 'cold' file review?; Hot review; Cold review 327 $aCan an auditor prepare the financial statements and then audit them? 330 $a Auditing has hit the headlines over recent years, and for all the wrong reasons, and in today's environment, the result of negligent auditing can be serious resulting in sizeable fines and even withdrawal of audit registration which can be costly in terms of fee income. Frequently Asked Questions in International Standards on Auditing presents the relevant standards in a concise and jargon-free way, enabling auditors to appreciate the reasoning behind the standards and undertake audit work effectively. This book focuses on the main areas of the auditing standards and also addre 606 $aAuditing$xStandards 615 0$aAuditing$xStandards. 676 $a657.45 700 $aCollings$b Steve$01638513 801 0$bMiFhGG 801 1$bMiFhGG 906 $aBOOK 912 $a9910816979503321 996 $aFrequently asked questions in ISAs$94044305 997 $aUNINA LEADER 03722nam 22006615 450 001 9910337847903321 005 20200630112310.0 010 $a3-030-12528-9 024 7 $a10.1007/978-3-030-12528-8 035 $a(CKB)4100000008409066 035 $a(DE-He213)978-3-030-12528-8 035 $a(MiAaPQ)EBC5922888 035 $a(PPN)238493024 035 $a(EXLCZ)994100000008409066 100 $a20190608d2019 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aBroad Learning Through Fusions $eAn Application on Social Networks /$fby Jiawei Zhang, Philip S. Yu 205 $a1st ed. 2019. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2019. 215 $a1 online resource (XV, 419 p. 104 illus., 81 illus. in color.) 311 $a3-030-12527-0 327 $a1 Broad Learning Introduction -- 2 Machine Learning Overview -- 3 Social Network Overview -- 4 Supervised Network Alignment -- 5 Unsupervised Network Alignment -- 6 Semi-supervised Network Alignment -- 7 Link Prediction -- 8 Community Detection -- 9 Information Diffusion -- 10 Viral Marketing -- 11 Network Embedding -- 12 Frontier and Future Directions -- References. 330 $aThis book offers a clear and comprehensive introduction to broad learning, one of the novel learning problems studied in data mining and machine learning. Broad learning aims at fusing multiple large-scale information sources of diverse varieties together, and carrying out synergistic data mining tasks across these fused sources in one unified analytic. This book takes online social networks as an application example to introduce the latest alignment and knowledge discovery algorithms. Besides the overview of broad learning, machine learning and social network basics, specific topics covered in this book include network alignment, link prediction, community detection, information diffusion, viral marketing, and network embedding. 606 $aData mining 606 $aArtificial intelligence 606 $aData structures (Computer science) 606 $aApplication software 606 $aMathematical statistics 606 $aData Mining and Knowledge Discovery$3https://scigraph.springernature.com/ontologies/product-market-codes/I18030 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 606 $aData Structures$3https://scigraph.springernature.com/ontologies/product-market-codes/I15017 606 $aInformation Systems Applications (incl. Internet)$3https://scigraph.springernature.com/ontologies/product-market-codes/I18040 606 $aProbability and Statistics in Computer Science$3https://scigraph.springernature.com/ontologies/product-market-codes/I17036 615 0$aData mining. 615 0$aArtificial intelligence. 615 0$aData structures (Computer science) 615 0$aApplication software. 615 0$aMathematical statistics. 615 14$aData Mining and Knowledge Discovery. 615 24$aArtificial Intelligence. 615 24$aData Structures. 615 24$aInformation Systems Applications (incl. Internet). 615 24$aProbability and Statistics in Computer Science. 676 $a006.312 676 $a006.312 700 $aZhang$b Jiawei$4aut$4http://id.loc.gov/vocabulary/relators/aut$01057909 702 $aYu$b Philip S$4aut$4http://id.loc.gov/vocabulary/relators/aut 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910337847903321 996 $aBroad Learning Through Fusions$92495425 997 $aUNINA