Traverse a graph and explore its structure using the MATLAB® interface to Neo4j®. For details about the MATLAB interface to Neo4j, see docid:database_ug.bveys16-1.
Add a group of colleagues, stored as a directed graph, to a group of friends in a social neighborhood, stored as nodes and relationships in a Neo4j® database. The example then shows how to query
Create a DatabaseDatastore object for accessing collections of data stored in a relational database. After creating a DatabaseDatastore object, you can preview data, read data in chunks,
Move data between MATLAB® and the MATLAB® interface to SQLite. Suppose that you have product data that you want to import into MATLAB®. You can load this data quickly into a SQLite database
Import data from a database into MATLAB®, perform calculations on the data, and export the results to a database table.
Import Boolean data from a database table into the MATLAB® workspace. MATLAB® imports Boolean data from databases into the MATLAB® workspace as data type logical. This data has values of
Retrieve database information using the connection object and the sqlfind function.
Determines the minimum arrival delay using a large set of flight data that is stored in a database.
Search a social neighborhood to find the second-degree friends of a person, using the MATLAB® interface to Neo4j®. Assume that you have graph data that is stored on a Neo4j® database which
Analyze dependencies among services in a network using the MATLAB® interface to Neo4j®. Assume that you have graph data that is stored on a Neo4j® database which represents a network. This
Demonstrates an alternate model for building relationships between historical weather and load data to build and test a short term load forecasting. The model used is a set of aggregated
Another popular form of trading strategy that is often employed by commodities traders and analysts is cross-sectional momentum, which seeks to measure and rank momentum across multiple
Once a trading strategy has been identified and refined by the analyst, the next steps in the workflow involve backtesting the strategy and generating multiple analytics to capture
Demonstrates building and validating a short term electricity load forecasting model with MATLAB. The models take into account multiple sources of information including temperatures
Ideas for trading strategies can very often be generated by visual exploration of the price data. MATLAB's interactive plotting tools enable analysts to quickly visualize and explore
Importing data from a variety of sources and aligning / cleaning up the data consumes a significant portion of an analyst workflow. It can be challenging to align and synchronize data from
One of the more common trading strategies within the commodities trading community is trend following. Trend following is an absolute momentum strategy in that it assumes that a particular
While backtesting a trading strategy, the analyst is often required to determine the optimal values of various strategy parameters and measure the sensitivity of the strategy's profits to
It is often a good idea to verify the performance of a backtested trading strategy with a chunk of market data that it has previously not been tested on. At the beginning of this webinar, we had
Demonstrates building and validating a short term electricity price forecasting model with MATLAB using Neural Networks. The models take into account multiple sources of information