Search Results for author:
Found 11 papers, 0 papers with code
Collect and Connect Data Leaves to Feature Concepts: Interactive Graph Generation Toward Well-being
Feature concepts and data leaves have been invented using datasets to foster creative thoughts for creating well-being in daily life.
Generating a Map of Well-being Regions using Multiscale Moving Direction Entropy on Mobile Sensors
The well-being of individuals in a crowd is interpreted as a product of the crossover of individuals from heterogeneous communities, which may occur via interactions with other crowds.
Data Leaves: Scenario-oriented Metadata for Data Federative Innovation
A method for representing the digest information of each dataset is proposed, oriented to the aid of innovative thoughts and the communication of data users who attempt to create valuable products, services, and business models using or combining datasets.
Feature Concepts for Data Federative Innovations
In this short paper, such a creative communication is reviewed, showing a couple of appli-cations, for example, change explanation in markets and earthquakes, and highlight the feature concepts elicited in these cases.
S$^3$ADNet: Sequential Anomaly Detection with Pessimistic Contrastive Learning
Anomalies are commonly found in sequential data generated by real-world applications, such as cyberattacks in network traffic, human activity changes in wearable sensors.
Hierarchical entropy and domain interaction to understand the structure in an image
It aims to help people interpret and explain what the structure in an image looks like from two indicators that change with the size of the region and the component.
Data Combination for Problem-solving: A Case of an Open Data Exchange Platform
The results indicate that even datasets that have a few variables are frequently used to propose solutions for problem solving.
Computers and Society
Detecting and explaining changes in various assets' relationships in financial markets
We study the method for detecting relationship changes in financial markets and providing human-interpretable network visualization to support the decision-making of fund managers dealing with multi-assets.
Extracting and Validating Explanatory Word Archipelagoes using Dual Entropy
An island here means the local sequence of sentences where the word is emphasized, and an archipelago of a length comparable to the target text is extracted using the co-variation of entropy A (the window-based entropy) on the distribution of the word's occurrences with the width of each time window.
Graph based Entropy for Detecting Explanatory Signs of Changes in Market
Graph based entropy, an index of the diversity of events in their distribution to parts of a co-occurrence graph, is proposed for detecting signs of structural changes in the data that are informative in explaining latent dynamics of consumers behavior.
