Visual Data Mining TRIZ Cases

A database visualization system extracts referent data and displays associated icons to clarify complex data relationships.

A notebook interface toggles to query mode, combining dataframe operations into database queries for execution.

Adaptive filtering mechanisms in the web interface resolve productivity versus ease of operation contradictions by dynamically narrowing large datasets.

HMaViz framework generates personalized visualization catalogs and infers user interests to streamline data exploration workflows.

Encoding visual features with neural networks resolves entity matching inaccuracies from conventional methods lacking image data.

Token-based mechanism embeds cloud analytics in third-party apps, resolving security risks from direct data access.

Automated deployment infrastructure determines artifact order using dependency graphs, resolving manual sequencing bottlenecks in large database systems.

A visual code links stored data visualizations to mobile devices for instant retrieval without database login.

Segmenting vast communication volumes into discrete events and applying local quality markers reveals interaction dynamics for timely intervention.

A virtual scenario generation method uses aerial image data to create division meshes and match objects for automated construction.

A graphical user interface displays independent block cards on a canvas to specify visual encodings and layout types for data sources.

A computer-implemented method generates visualization data from database objects using a minimum spanning tree built on nearest neighbors found in an index structure.

A mobile terminal screen view transition method converts initial data fields into secondary fields upon touch interaction.