[Lecture Notes in Computer Science] Scalable Uncertainty Management Volume 7520 || A Distance between Continuous Belief Functions

[Lecture Notes in Computer Science] Scal

[Lecture Notes in Computer Science] Scalable Uncertainty Management Volume 7520 || Density-Based Projected Clustering of Data Streams

✍ Hüllermeier, Eyke; Link, Sebastian; Fober, Thomas; Seeger, Bernhard 📂 Article 📅 2012 🏛 Springer Berlin Heidelberg ⚖ 437 KB

[Lecture Notes in Computer Science] Scal

[Lecture Notes in Computer Science] Scalable Uncertainty Management Volume 7520 || Credit-Card Fraud Profiling Using a Hybrid Incremental Clustering Methodology

✍ Hüllermeier, Eyke; Link, Sebastian; Fober, Thomas; Seeger, Bernhard 📂 Article 📅 2012 🏛 Springer Berlin Heidelberg ⚖ 413 KB

[Lecture Notes in Computer Science] Scal

[Lecture Notes in Computer Science] Scalable Uncertainty Management Volume 7520 || On the Complexity of the Graphical Representation and the Belief Inference in the Dynamic Directed Evidential Networks with Conditional Belief Functions

✍ Hüllermeier, Eyke; Link, Sebastian; Fober, Thomas; Seeger, Bernhard 📂 Article 📅 2012 🏛 Springer Berlin Heidelberg ⚖ 715 KB

[Lecture Notes in Computer Science] Scal

[Lecture Notes in Computer Science] Scalable Uncertainty Management Volume 6379 || Uncertainty in Decision Tree Classifiers

✍ Deshpande, Amol; Hunter, Anthony 📂 Article 📅 2010 🏛 Springer Berlin Heidelberg 🌐 English ⚖ 320 KB

Managing uncertainty and inconsistency has been extensively explored in - ti?cial Intelligence over a number of years. Now with the advent of massive amounts of data and knowledge from distributed heterogeneous,and potentially con?icting, sources, there is interest in developing and applying formali

[Lecture Notes in Computer Science] Scal

[Lecture Notes in Computer Science] Scalable Uncertainty Management Volume 6379 || Uncertainty in Clustering and Classification

✍ Deshpande, Amol; Hunter, Anthony 📂 Article 📅 2010 🏛 Springer Berlin Heidelberg 🌐 English ⚖ 87 KB

Managing uncertainty and inconsistency has been extensively explored in - ti?cial Intelligence over a number of years. Now with the advent of massive amounts of data and knowledge from distributed heterogeneous,and potentially con?icting, sources, there is interest in developing and applying formali

[Lecture Notes in Computer Science] Scal

[Lecture Notes in Computer Science] Scalable Uncertainty Management Volume 6379 || DK-BKM: Decremental K Belief K-Modes Method

✍ Deshpande, Amol; Hunter, Anthony 📂 Article 📅 2010 🏛 Springer Berlin Heidelberg 🌐 English ⚖ 233 KB

Managing uncertainty and inconsistency has been extensively explored in - ti?cial Intelligence over a number of years. Now with the advent of massive amounts of data and knowledge from distributed heterogeneous,and potentially con?icting, sources, there is interest in developing and applying formali