Incomplete data affects classification accuracy and hinders effective data mining. The following techniques are effective for working with incomplete data. The ISOM-DH model handles incomplete data ...

The Jobs Platform is expected to be open in 2026. Separately, the CEO of applications expects 10 million people to complete AI-related certifications by 2023. Dyson unveils a new AI robot vacuum, ...

Successful completion of this course demonstrate your achievement of the following learning outcomes for the MS-DS program: Identify the core functionalities of data modeling in the data mining ...

Clustering is a commonly considered data mining problem in the text domains. The problem finds numerous applications in customer segmentation, classification, collaborative filtering, visualization, ...

This is a preview. Log in through your library . Abstract In recent years, advances in high throughput sequencing technology have led to a need for specialized methods for the analysis of digital gene ...

On Friday the 21st of December 2018, M.Sc. Lidia Pivovarova will defend her doctoral thesis on Classification and Clustering in Media Monitoring in Kumpula. The thesis is a part of the research done ...

*Note: This course description is only applicable for the Computer Science Post-Baccalaureate program. Additionally, students must always refer to course syllabus for the most up to date information.

As the election season rampages on, we categorize voters into broad demographics — soccer moms, NASCAR dads, blacks, whites, ALICEs, yuppies — in an attempt to understand and discuss this complex, ...