| Call Number (LC) | Title | Results |
|---|---|---|
| QA76.9.D343 W58 2011 | Data mining : practical machine learning tools and techniques. | 1 |
| QA76.9.D343 W58 2011eb | Data mining : practical machine learning tools and techniques / | 1 |
| QA76.9.D343 X83 2013 | Applied Data Mining. | 1 |
| QA76.9.D343 .Y384 2013 | Design Directions : the Relationship Between Humans and Technology. | 1 |
| QA76.9.D343 Z34 2014 | Social media mining : an introduction / | 1 |
| QA76.9.D343 Z43 2013 | R and data mining : examples and case studies / | 1 |
| QA76.9.D343 Z43 2023 | Entity alignment : concepts, recent advances and novel approaches / | 1 |
| QA76.9.D343 Z46 2023 | Learn data mining through Excel : a step-by-step approach for understanding machine learning methods / | 1 |
| QA76.9.D343 Z526 2013 | Data mining applications with R / | 1 |
| QA76.9.D343 Z526 2013eb | Data mining applications with R / | 1 |
| QA76.9.D343 Z53 2012eb | Spectral feature selection for data mining / | 1 |
| QA76.9.D345 |
How can I clean my data for use in a predictive model? / Cleaning data for effective data science : doing the other 80% of the work with Python, R, and command-line tools / |
2 |
| QA76.9.D345 A34 2013e | Agent-based computational economics using Netlogo / | 1 |
| QA76.9.D345 C63 1999eb | Cody's data cleaning techniques using SAS software / | 1 |
| QA76.9.D345 C63 2008eb | Cody's data cleaning techniques using SAS / | 1 |
| QA76.9.D345 D38 2023 | Data wrangling : concepts, applications and tools / | 2 |
| QA76.9.D345 F66 2019 | Kernelization : theory of parameterized preprocessing / | 1 |
| QA76.9.D345 F69 2020 | Creating good data : a guide to dataset structure and data representation / | 1 |
| QA76.9.D345 R38 2017eb | Principles of data wrangling : practical techniques for data preparation / | 1 |
| QA76.9 .D348 | IBM SmartCloud Essentials. | 1 |
