Abstract Current Conditional Functional Dependency (CFD) discovery algorithms always need a well-prepared training dataset. This condition makes them difficult to apply on large and low-quality datasets. To handle the volume […]
Mining conditional functional dependency rules on big data Read More »
Abstract In order to analyze the big data of people’s livelihood appeal, this paper proposes a time series modeling and algorithm to decompose the time series {x(t)} of data into
Preface: big data?(BD ) Big data can be one of the terms exists no superset of the sayings and writings related to information technology, he said. If you have a query related
What is big data? (+ Big Data applications) Read More »
Abstract In this work the following three basic research questions are discussed: (1) can significant effects of modality efficiency and input performance on the selection of input modalities in multimodal
Extending Automated Usability Evaluation Tools for Multimodal Input Read More »
