05212nam 22007935 450 99646579280331620200720091125.03-540-33207-310.1007/11731139(CKB)1000000000232902(SSID)ssj0000316007(PQKBManifestationID)11228663(PQKBTitleCode)TC0000316007(PQKBWorkID)10257021(PQKB)10970518(DE-He213)978-3-540-33207-7(MiAaPQ)EBC3067856(PPN)123133017(EXLCZ)99100000000023290220100301d2006 u| 0engurnn|008mamaatxtccrAdvances in Knowledge Discovery and Data Mining[electronic resource] 10th Pacific-Asia Conference, PAKDD 2006, Singapore, April 9-12, 2006, Proceedings /edited by Wee Keong Ng, Masaru Kitsuregawa, Jianzhong Li1st ed. 2006.Berlin, Heidelberg :Springer Berlin Heidelberg :Imprint: Springer,2006.1 online resource (XXIV, 879 p.) Lecture Notes in Artificial Intelligence ;3918Bibliographic Level Mode of Issuance: Monograph3-540-33206-5 Includes bibliographical references and index.Keynote Speech -- Invited Speech -- Classification -- Ensemble Learning -- Ensemble Learning -- Support Vector Machines -- Text and Document Mining -- Web Mining -- Graph and Network Mining -- Association Rule Mining -- Bio-data Mining -- Outlier and Intrusion Detection -- Privacy -- Relational Database -- Multimedia Mining -- Stream Data Mining -- Temporal Data Mining -- Temporal Data Mining -- Innovative Applications.The Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD) is a leading international conference in the area of data mining and knowledge discovery. This year marks the tenth anniversary of the successful annual series of PAKDD conferences held in the Asia Pacific region. It was with pleasure that we hosted PAKDD 2006 in Singapore again, since the inaugural PAKDD conference was held in Singapore in 1997. PAKDD 2006 continues its tradition of providing an international forum for researchers and industry practitioners to share their new ideas, original research results and practical development experiences from all aspects of KDD data mining, including data cleaning, data warehousing, data mining techniques, knowledge visualization, and data mining applications. This year, we received 501 paper submissions from 38 countries and regions in Asia, Australasia, North America and Europe, of which we accepted 67 (13.4%) papers as regular papers and 33 (6.6%) papers as short papers. The distribution of the accepted papers was as follows: USA (17%), China (16%), Taiwan (10%), Australia (10%), Japan (7%), Korea (7%), Germany (6%), Canada (5%), Hong Kong (3%), Singapore (3%), New Zealand (3%), France (3%), UK (2%), and the rest from various countries in the Asia Pacific region.Lecture Notes in Artificial Intelligence ;3918Data structures (Computer science)Artificial intelligenceDatabase managementInformation storage and retrievalMathematical statisticsMultimedia information systemsData Structures and Information Theoryhttps://scigraph.springernature.com/ontologies/product-market-codes/I15009Artificial Intelligencehttps://scigraph.springernature.com/ontologies/product-market-codes/I21000Database Managementhttps://scigraph.springernature.com/ontologies/product-market-codes/I18024Information Storage and Retrievalhttps://scigraph.springernature.com/ontologies/product-market-codes/I18032Probability and Statistics in Computer Sciencehttps://scigraph.springernature.com/ontologies/product-market-codes/I17036Multimedia Information Systemshttps://scigraph.springernature.com/ontologies/product-market-codes/I18059Data structures (Computer science).Artificial intelligence.Database management.Information storage and retrieval.Mathematical statistics.Multimedia information systems.Data Structures and Information Theory.Artificial Intelligence.Database Management.Information Storage and Retrieval.Probability and Statistics in Computer Science.Multimedia Information Systems.005.74Ng Wee Keongedthttp://id.loc.gov/vocabulary/relators/edtKitsuregawa Masaruedthttp://id.loc.gov/vocabulary/relators/edtLi Jianzhongedthttp://id.loc.gov/vocabulary/relators/edtPacific-Asia Conference on Knowledge Discovery and Data MiningBOOK996465792803316Advances in Knowledge Discovery and Data Mining772012UNISA02456nam 2200565 450 991079720760332120170822132400.01-63076-097-8(CKB)3710000000443984(EBL)2085855(SSID)ssj0001517248(PQKBManifestationID)12635021(PQKBTitleCode)TC0001517248(PQKBWorkID)11502502(PQKB)10640720(MiAaPQ)EBC2085855(EXLCZ)99371000000044398420150723h20152015 uy 0engur|n|---|||||txtccrHow to start a home-based landscaping business /Owen E. Dell7th ed.Lanham, [Maryland] :Taylor Trade Publishing,2015.©20151 online resource (361 p.)Home-Based Business SeriesDescription based upon print version of record.1-4930-1171-5 Includes bibliographical references and index.Contents; Acknowledgments; Preface to the Seventh Edition; Introduction; 01 So You Think You Want to Be a Landscaper?; 02 Getting Started; 03 Writing a Business Plan; 04 Learning to Live with Record Keeping; 05 Employees: A Joy and a Nuisance; 06 Getting Work; 07 Bidding; 08 Finally You Get to Do Some Real Work; 09 The Long Haul; Appendix 1: Resources; Appendix 2: Business Plan Worksheet and Other Forms; Index<span><span>Landscaping continues to be an in-demand business field for motivated entrepreneurs. This seventh edition includes updated information on business plans, managing both employees and paperwork, taxes, and in-depth discussions on the role social media can play in your successful landscaping business. </span></span>Home-based business series.Landscaping industryManagementNew business enterprisesManagementHome-based businessesManagementLandscaping industryManagement.New business enterprisesManagement.Home-based businessesManagement.712.068Dell Owen E.1504076MiAaPQMiAaPQMiAaPQBOOK9910797207603321How to start a home-based landscaping business3732867UNINA