Titlebook: Discovery Science; 16th International C Johannes Fürnkranz,Eyke Hüllermeier,Tomoyuki Higuc Conference proceedings 2013 Springer-Verlag Berl

绝食

Multi-interval Discretization of Continuous Attributes for Label Ranking,en a significant amount of work on the development of learning algorithms for LR in recent years, pre-processing methods for LR are still very scarce. However, some methods, like Naive Bayes for LR and APRIORI-LR, cannot deal with real-valued data directly. As a make-shift solution, one could consid

nocturia

Identifying Super-Mediators of Information Diffusion in Social Networks,an important role in receiving the information and passing it to other nodes. We mathematically formulate this as a difference maximization problem in the average influence degree with respect to a node removal, ., a node that contributes to making the difference large is influential. We further cha

神化怪物

Excise

蜿蜒而流

Mining Interesting Patterns in Multi-relational Data with N-ary Relationships,e a new pattern syntax for such data, develop an efficient algorithm for mining it, and define a suitable interestingness measure that is able to take into account prior information of the data miner. Our approach is a strict generalisation of prior work on multi-relational data in which relationshi

Evolve

Learning Hierarchical Multi-label Classification Trees from Network Data,ltiple classes at the same time and consider the hierarchical organization of the classes. It assumes that the instances are placed in a network and uses information on the network connections during the learning of the predictive model. Many real world prediction problems have classes that are orga

高射炮

Ointment

思考才皱眉

Fast Compression of Large-Scale Hypergraphs for Solving Combinatorial Problems,ses multikey Quicksort given by Bentley and Sedgewick. By conducting experiments with various datasets, we show that our algorithm is significantly faster and requires much smaller memory than an existing method.

poliosis

Discovery Science978-3-642-40897-7Series ISSN 0302-9743 Series E-ISSN 1611-3349