Call Number (LC) | Title | Results |
---|---|---|
QA76.9.D343 F86 2013eb | Numbersense : how to use big data to your advantage / | 1 |
QA76.9.D343 G33 2019 | Gabe Ignatow discusses text mining in sociology. | 1 |
QA76.9.D343 G36 2011 |
Data clustering in C++ an object-oriented approach / Data clustering in C++ : an object-oriented approach / |
2 |
QA76.9.D343 G36 2013 |
Game analytics maximizing the value of player data / Game analytics : maximizing the value of player data / |
2 |
QA76.9.D343 G363 2016 | Social media analytics : techniques and insights for extracting business value out of social media / | 1 |
QA76.9.D343 G37 2013 | Formal methods for mining structured objects / | 1 |
QA76.9.D343 G56 2010 | Association rule hiding for data mining | 1 |
QA76.9.D343 G65 2020 | Empower decision makers with SAP analytics cloud : modernize BI with SAP's single platform for analytics / | 1 |
QA76.9.D343 G65 2020eb | Empower decision makers with SAP analytics cloud : modernize BI with SAP's single platform for analytics / | 2 |
QA76.9.D343 G67 2011 | Data mining concepts, models and techniques / | 1 |
QA76.9.D343 G73 2005 | Graph-theoretic techniques for web content mining / | 1 |
QA76.9.D343 G73 2021 | Graph data mining : algorithm, security and application / | 1 |
QA76.9.D343 .G737 2018 | La Théorie de l'analyse Statistique Implicative Ou l'invraisemblance du Faux. | 1 |
QA76.9.D343 G74 2021 | Data analytics : systems engineering, cybersecurity, project management / | 1 |
QA76.9.D343 G75 2009 |
Applied data mining for business and industry / Applied data mining for business and industry |
2 |
QA76.9.D343G75 2009 | ||
QA76.9.D343 G753 2011eb |
Analyzing the large number of variables in biomedical and satellite imagery / Analyzing the large number of variables in biomedical and satellite imagery |
2 |
QA76.9.D343 G755 2005eb | Graph-theoretic techniques for web content mining / | 1 |
QA76.9.D343 G758 2022 | Text as data : a new framework for machine learning and the social sciences / | 1 |
QA76.9.D343 G76 2015eb | Fundamentals of business intelligence / | 2 |