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Item-based top-N recommendation algorithms
TLDR
We present one such class of model-based recommendation algorithms that first determines the similarities between the various items and then uses them to identify the set of items to be recommended. Expand
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Web usage mining: discovery and applications of usage patterns from Web data
TLDR
Web usage mining is the application of data mining techniques to discover usage patterns from Web data, in order to understand and better serve the needs of Web-based applications. Expand
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Selective Markov models for predicting Web page accesses
TLDR
The problem of predicting a user's behavior on a Web site has gained importance due to the rapid growth of the World Wide Web and the need to personalize and influence the user's browsing experience. Expand
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Frequent Substructure-Based Approaches for Classifying Chemical Compounds
TLDR
This paper presents a substructure-based classification algorithm that decouples the substructure discovery process from the classification model construction and uses frequent subgraph discovery algorithms to find all topological and geometric substructures present in the data set. Expand
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Automated Approaches for Classifying Structures
TLDR
We present an algorithm that first mines the chemical compound dataset to discover discriminating sub-structures; these discriminating substructures are used as features to build a powerful classifier. Expand
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Frequent substructure-based approaches for classifying chemical compounds
TLDR
This paper presents a substructure-based classification algorithm that decouples the substructure discovery process from the classification model construction and uses frequent subgraph discovery algorithms to find all topological and geometric substructures present in the data set. Expand
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Evaluation of Techniques for Classifying Biological Sequences
TLDR
We evaluate some of the widely-used sequence classification algorithms and develop a framework for modeling sequences in a fashion so that traditional machine learning algorithms, such as support vector machines, can be applied easily. Expand
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Mechanism of action of novel synthetic dodecapeptides against Candida albicans.
BACKGROUND Three de novo designed low molecular weight cationic peptides (IJ2, IJ3 and IJ4) containing an unnatural amino acid α,β-didehydrophenylalanine (∆Phe) exhibited potent antifungal activityExpand
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Item-based Top-n Recommendation Algorithms Item-based Top-n Recommendation Algorithms Item-based Top-n Recommendation Algorithms *
The explosive growth of the worldwide web and the emergence of e-commerce has led to the development of recommender systems—a personalized information filtering technology used to identify a set of NExpand
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Beneficial effect of supplementation with copper sulfate on STZ-diabetic mice (IDDM).
Trace element status is known to be altered in the diabetic state. Current evidence suggests that reactive oxygen intermediates (ROI's) do participate in the destruction of pancreatic beta cells inExpand
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