Call Number (LC) Title Results
QA76.9.D343 P553 1999 Principles of data mining and knowledge discovery : Third European Conference, PKDD '99, Prague, Czech Republic, September 15-18, 1999 : proceedings / 2
QA76.9.D343 P553 2000 Principles of data mining and knowledge discovery : 4 th European Conference, PKDD 2000, Lyon, France, September 13-16, 2000 : proceedings / 1
QA76.9.D343 P58 2023 Categorizing representatives' precongressional experiences using automated coding / 1
QA76.9.D343 P66 2010 Knowledge acquisition from a collaboratively generated encyclopedia / 1
QA76.9.D343 P67 2005eb Tech Mining Exploiting New Technologies for Competitive Advantage
Tech Mining : Exploiting New Technologies for Competitive Advantage /
Tech mining : exploiting new technologies for competitive advantage / 		3
QA76.9.D343 P73 2007eb Data mining and warehousing / 1
QA76.9.D343 P73 2011 Privacy and security issues in data mining and machine learning international ECML/PKDD Workshop, PSDML 2010, Barcelona, Spain, September 24, 2010 : revised selected papers / 1
QA76.9.D343 P73 2012 Practical text mining and statistical analysis for non-structured text data applications /
Practical text mining and statistical analysis for non-structured text data applications 		2
QA76.9.D343 P73 2012eb Practical text mining and statistical analysis for non-structured text data applications / 3
QA76.9.D343 P74 2016 Prescriptive analytics : what is prescriptive analytics?.
Prescriptive analytics : parameters of the model.
Prescriptive analytics : introduction. 		3
QA76.9.D343 P75 2008 Privacy, security, and trust in KDD second ACM SIGKDD international workshop, PinKDD 2008, Las Vegas, NV, USA, August 24-27, 2008 : revised selected papers / 1
QA76.9.D343 P75 2008eb Privacy-preserving data mining models and algorithms / 1
QA76.9.D343 P75 2016eb Private data and public value : governance, green consumption, and sustainable supply chains / 2
QA76.9.D343 P76 2013 Data science for business / 1
QA76.9.D343 P76 2013eb Data science for business : what you need to know about data mining and data-analytic thinking / 1
QA76.9.D343 P768678 2013 Data science for business / 1
QA76.9.D343Q325.5-.7 Applied data science : lessons learned for the data driven business / 1
QA76.9.D343 .Q338 2018 Machine Learning with Apache Spark Quick Start Guide : Uncover Patterns, Derive Actionable Insights, and Learn from Big Data Using MLlib. 1
QA76.9.D343 Q35 2007 Quality measures in data mining / 1
QA76.9.D343 Q35 2007eb Quality measures in data mining 1