Information filtering systems constitute a critical component in modern information seeking applications. As the number of users grows and the information available becomes even bi...
Properly-designed bulk-loading techniques are more efficient than the conventional tuple-loading method in constructing a multidimensional index tree for a large data set. Although...
Gang Qian, Hyun-Jeong Seok, Qiang Zhu, Sakti Prama...
Query recommendation suggests related queries for search engine users when they are not satisfied with the results of an initial input query, thus assisting users in improving sear...
In professional environments which are characterized by a domain (Medicine, Law, etc.), information retrieval systems must be able to process precise queries, mostly because of the...
The usage of descriptive data mining methods for predictive purposes is a recent trend in data mining research. It is well motivated by the understandability of learned models, the...
Abstract. The content of most Web pages is dynamically derived from an underlying relational database. Thus, the success of the Semantic Web hinges on enabling access to relational...
Syed Hamid Tirmizi, Juan Sequeda, Daniel P. Mirank...
The paper presents a novel method for compressing large database workloads for purpose of autonomic, continuous index selection. The compressed workload contains a small subset of ...
We consider the problem of data-stream classification, introducing a stream-classification algorithm, Dynamic Streaming Random Forests, that is able to handle evolving data streams...
Hanady Abdulsalam, David B. Skillicorn, Patrick Ma...
Abstract. We present a method based on clustering techniques to detect concept drift or novelty in a knowledge base expressed in Description Logics. The method exploits an effectiv...
The query performance for tracing tags depends upon the distribution of tag trajectories in the data space. We examine a more efficient representation of tag trajectories by means ...