03616nam 2200661 450 991045979870332120200520144314.01-63157-121-4(CKB)3710000000329621(EBL)1911815(OCoLC)900878630(CaBNVSL)swl00404634(MiAaPQ)EBC1911815(Au-PeEL)EBL1911815(CaPaEBR)ebr11007926(CaONFJC)MIL688591(EXLCZ)99371000000032962120150126d2015 fy 0engur|n|---|||||rdacontentrdamediardacarrierBusiness intelligence and data mining /Anil K. MaheshwariFirst edition.New York, New York (222 East 46th Street, New York, NY 10017) :Business Expert Press,2015.1 online resource (180 p.)Big data and business analytics collection,2333-6757Description based upon print version of record.1-63157-120-6 Includes bibliographical references (pages 157-158) and index.1. Wholeness of business intelligence and data mining -- 2. Business intelligence concepts and applications -- 3. Data warehousing -- 4. Data mining -- 5. Decision trees -- 6. Regression -- 7. Artificial neural networks -- 8. Cluster analysis -- 9. Association rule mining -- 10. Text mining -- 11. Web mining -- 12. Big data -- 13. Data modeling primer -- Additional resources -- Index.Business is the act of doing something productive to serve someone's needs, and thus earn a living, and make the world a better place. Business activities are recorded on paper or using electronic media, and then these records become data. There is more data from customers' responses and on the industry as a whole. All this data can be analyzed and mined using special tools and techniques to generate patterns and intelligence, which reflect how the business is functioning. These ideas can then be fed back into the business so that it can evolve to become more effective and efficient in serving customer needs. And the cycle continues on. Business intelligence includes tools and techniques for data gathering, analysis, and visualization for helping with executive decision making in any industry. Data mining includes statistical and machine-learning techniques to build decision-making models from raw data. Data mining techniques covered in this book include decision trees, regression, artificial neural networks, cluster analysis, and many more. Text mining, web mining, and big data are also covered in an easy way. A primer on data modeling is included for those uninitiated in this topic.Big data and business analytics collection.2333-6757Business information servicesData miningBusiness intelligenceElectronic books.Data AnalyticsData MiningBusiness IntelligenceDecision TreesRegressionNeural NetworksCluster analysisAssociation rulesBusiness information services.Data mining.Business intelligence.658.4038Maheshwari Anil1949-,996977MiAaPQMiAaPQMiAaPQBOOK9910459798703321Business intelligence and data mining2286223UNINA05243nam 2200697 450 991082864760332120230810010428.01-4384-5391-4(CKB)3710000000261370(EBL)3408946(SSID)ssj0001352668(PQKBManifestationID)12594446(PQKBTitleCode)TC0001352668(PQKBWorkID)11311619(PQKB)10581321(MiAaPQ)EBC3408946(Au-PeEL)EBL3408946(CaPaEBR)ebr10954094(OCoLC)893439323(EXLCZ)99371000000026137020141020h20142014 uy 0engur|n|---|||||txtccrFaculty fathers toward a new ideal in the research university /Margaret W. SalleeAlbany, New York :SUNY Press,2014.©20141 online resource (256 p.)Description based upon print version of record.1-4384-5389-2 Includes bibliographical references and index.""Contents""; ""List of Tables""; ""Acknowledgments""; ""1. Introduction""; ""Navigating Parenthood at the Research University""; ""The Ideal Worker in the Gendered University""; ""The Gendered University""; ""Work/Life Issues and the Faculty Career""; ""Accommodating Family Demands at the Research University""; ""Tenure-Clock Extension""; ""Pregnancy Leave, Childbearing Leave, and Parental Leave""; ""Release from Teaching Duties (Active Service/Modified Duties)""; ""Part-Time Tenure Track""; ""Backup Childcare""; ""Miscellaneous Institutional Programs""; ""Methodology""; ""Campus Profiles""""A Snapshot of the Fathers""""Methods of Data Collection""; ""Organization of the Book""; ""2. Conflicting Roles: The Ideal Worker or the Ideal Father?""; ""The Faculty Career Is Ideal for Parenting?""; ""The Ideal Faculty Member Is the Ideal Worker""; ""The Ideal Worker as Breadwinner, not Caregiver""; ""Mothers versus Fathers: Biological and Socially-Constructed Differences""; ""Contrasting Opinions over Policy Use""; ""Career and Identity Consequences for Policy Use""; ""Conclusion""; ""3. Family-Friendly or Father-Friendly: Institutional Culture and the Ideal Worker""""Elements of Organizations that Shape Menâ€?s Ability to Balance Work and Family""""Existence of Formal Policies""; ""History of Policy Use""; ""Managerial Support""; ""Coworker Support""; ""Eastern University: Neither Father-Friendly nor Mother-Friendly""; ""Location""; ""Policies and Programs""; ""Central Administration""; ""Department-Level Support""; ""Southern University: Family-Friendly or Mommy-Friendly?""; ""Location""; ""Policies and Programs""; ""Central Administration""; ""Department-Level Support""; ""Western University: Working Toward a Father-Friendly Culture""; ""Location""""Policies and Programs""""Central Administration""; ""Department-Level Support""; ""Midwestern University: Family-Friendly Policies, Father-Friendly Departments""; ""Location""; ""Programs and Policies""; ""Central Administration""; ""Department-Level Support""; ""Conclusion""; ""Location""; ""Existence of Policies""; ""History of Policy Use""; ""Support from Administration, Deans, and Chairs""; ""Support from Colleagues""; ""4. Disciplinary Culture and the Ideal Worker""; ""Structure of Work""; ""People in the Discipline""; ""Humanities and Social Sciences""; ""Structure of Work""""People in the Discipline""""Sciences and Engineering""; ""Structure of Work""; ""People in the Discipline""; ""Professional Schools""; ""Structure of Work""; ""People in the Discipline""; ""Conclusion""; ""Structure of Work""; ""People in the Discipline""; ""5. How Family Life Affects Faculty Life""; ""Defining Productivity""; ""Hours Worked""; ""Fatherhood Leads to Increased Productivity and Efficiency""; ""Fatherhood Leads to Decreased Productivity and Scholarly Engagement""; ""Intellectual Attention and Scholarly Work""; ""Conclusion""; ""6. The Ideal Worker Inside or Outside the Home?""""Shifting or Reinscribing Gender Norms?""College teachersUnited StatesLeaves of absenceCase studiesCollege teachersFamily relationshipsUnited StatesCase studiesMale teachersUnited StatesLeaves of absenceCase studiesMale teachersFamily relationshipsUnited StatesCase studiesFamily leaveUnited StatesCase studiesSex differences in educationUnited StatesCase studiesMale college teachersCollege teachersLeaves of absenceCollege teachersFamily relationshipsMale teachersLeaves of absenceMale teachersFamily relationshipsFamily leaveSex differences in education378.121Sallee Margaret1977-1624108MiAaPQMiAaPQMiAaPQBOOK9910828647603321Faculty fathers3958903UNINA