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Data Exploration
Data exploration is one of the core modules of the competition. It runs through the competition and is also the key to the victory of many...
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A semantics-enabled approach for personalised Data Lake exploration
The increasing availability of Big Data is changing the way data exploration for Business Intelligence is performed, due to the volume, velocity and...
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Data Exploration
This chapter looks at the basics of data management through the Wolfram Data Repository online platform and its use in Mathematica. You also learn...
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A heterogeneous multi-modal medical data fusion framework supporting hybrid data exploration
Industry 4.0 era has witnessed that more and more high-tech and precise devices are applied into medical field to provide better services. Besides...
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A stable data-augmented reinforcement learning method with ensemble exploration and exploitation
Learning from visual observations is a significant yet challenging problem in Reinforcement Learning (RL). Two respective problems, representation...
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BEST: a web application for comprehensive biomarker exploration on large-scale data in solid tumors
Data mining from RNA-seq or microarray data has become an essential part of cancer biomarker exploration. Certain existing web servers are valuable...
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User-Friendly Exploration of Highly Heterogeneous Data Lakes
The proliferation of digital data sources and formats has led to the apparition of data lakes, systems where numerous data sources coexist, with less...
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Multi-modal Medical Data Exploration Based on Data Lake
In the field of medicine, the rapid increase of medical devices has generated a substantial volume of multi-modal data, encompassing structured,...
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Health care data analysis and visualization using interactive data exploration for sportsperson
Sports have scored significant attention among the public in this multifaceted world. Diverse training strategies are followed by many athletics and...
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Exploration and Exploitation of Unlabeled Data for Open-Set Semi-supervised Learning
In this paper, we address a complex but practical scenario in semi-supervised learning (SSL) named open-set SSL, where unlabeled data contain both...
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Data augmentation based on shape space exploration for low-size datasets: application to 2D shape classification
This article introduces a novel 2D shape data augmentation approach based on intra-class shape space exploration. The proposed method relies on a...
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Expediting Prediction Accuracy with Exploration and Incorporation of Virtual Data
Achieving high accuracy in time series forecasting (TSF) is challenging; particularly for series with inadequate training data or insignificant...
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Data Exploration
This chapter shows how we can apply exploratory data analysis (EDA) on raw data to gain insights from the data. A sample dataset is explored with...
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Metadata Extraction from User Queries for Self-Service Data Lake Exploration
Data catalogs represent a promising solution for semantically classifying and organizing data sources and enriching raw data with metadata. However,...
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Data Exploration Optimization for Medical Big Data
In medical domain, huge amounts of data are generated at all times. Data exploration is very important to help physicians or medical researchers to...
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Exploration of COVID-19 data in Malaysia through mapper graph
Huge amounts of data have been collected from various sources during the COVID-19 pandemic, providing a unique opportunity for analysis, data-driven...
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Dexteris: Data Exploration and Transformation with a Guided Query Builder Approach
Data exploration and transformation remain a challenging prerequisite to the application of data analysis methods. The desired transformations are...
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Visual Exploration of Human Motion Data
Human motion data are beginning to appear in many application domains, which brings a need to develop user-friendly motion processing applications....
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Efficient and robust active learning methods for interactive database exploration
There is an increasing gap between fast growth of data and the limited human ability to comprehend data. Consequently, there has been a growing...
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Interactively discovering and ranking desired tuples by data exploration
Data exploration—the problem of extracting knowledge from database even if we do not know exactly what we are looking for —is important for data...
