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A survey of challenges for runtime verification from advanced application domains (beyond software)
Runtime verification is an area of formal methods that studies the dynamic analysis of
execution traces against formal specifications. Typically, the two main activities in runtime …
execution traces against formal specifications. Typically, the two main activities in runtime …
[PDF][PDF] NoSQL Schema Evolution and Data Migration: State-of-the-Art and Opportunities.
Recent position papers demand more schema flexibility, such as the ability to handle
variational data [3, 42]. Many agile software developers have long since turned towards …
variational data [3, 42]. Many agile software developers have long since turned towards …
Approximate OLAP of document-oriented databases: A variety-aware approach
Schemaless databases, and document-oriented databases in particular, are preferred to
relational ones for storing heterogeneous data with variable schemas and structural forms …
relational ones for storing heterogeneous data with variable schemas and structural forms …
EXODuS: exploratory OLAP over document stores
OLAP has been extensively used for a couple of decades as a data analysis approach to
support decision making on enterprise structured data. Now, with the wide diffusion of …
support decision making on enterprise structured data. Now, with the wide diffusion of …
To not miss the forest for the trees-A holistic approach for explaining missing answers over nested data
Query-based explanations for missing answers identify which operators of a query are
responsible for the failure to return a missing answer of interest. This type of explanations …
responsible for the failure to return a missing answer of interest. This type of explanations …
Multi-model database management systems-a look forward
ZH Liu, J Lu, D Gawlick, H Helskyaho… - … , and Analytics for …, 2019 - Springer
The existence of the variety of data models and their associated data processing
technologies make data management extremely complex. In this paper, we envision a single …
technologies make data management extremely complex. In this paper, we envision a single …
Counting types for massive JSON datasets
Type systems express structural information about data, are human readable and hence
crucial for understanding code, and are endowed with a formal definition that makes them a …
crucial for understanding code, and are endowed with a formal definition that makes them a …
Drag, Drop, Merge: A Tool for Streamlining Integration of Longitudinal Survey Instruments
We explore data management for longitudinal study survey instruments:(i) Survey instrument
evolution presents a unique data integration challenge; and (ii) Longitudinal study data …
evolution presents a unique data integration challenge; and (ii) Longitudinal study data …
JSON document clustering based on schema embeddings
The growing popularity of JSON as the data storage and interchange format increases the
availability of massive multi-structured data collections. Clustering JSON documents has …
availability of massive multi-structured data collections. Clustering JSON documents has …
A supervisory control loop with Prognostics for human-in-the-loop decision support and control applications
KC Gross, K Baclawski, ES Chan… - … IEEE conference on …, 2017 - ieeexplore.ieee.org
This paper presents a novel tandem human-machine cognition approach for human-in-the-
loop control of complex business-critical and mission-critical systems and processes that are …
loop control of complex business-critical and mission-critical systems and processes that are …