Know4Business is a neural data mining tool that uses self-organizing maps to provide an unsupervised learning method for discovering hidden knowledge in business data. It has 5 tools to prepare, discover groups in, evaluate, generalize, and provide diagnosis/suggestions on user data. The tool exploits a self-organizing map data mining model to catalogue and classify data through competitive learning. It provides a simple workflow with feedback capabilities to iteratively improve knowledge discovery customization.

1. Know! for Business Neural Data Mining enabler for
“A self-organizing map (SOM) is a type of artificial neural network
that is trained using unsupervised learning to produce a low-
dimensional (typically two-dimensional), discretized representation of
the input space of the training samples, called a map.” Wikipedia
Know4Business adds to Google-Apps a powerful general-pourpose
discovering of the hidden knowledge, in your business data, enabled
by a well-known neural-network self-learning data-mining algorithm.
Knowledge discovery tools
Know4Business provides 5 tools, to fulfill the knowledge discovery:
●SOURCE to preparing (checking, normalizing, cleaning, filtering
and encoding) the input data.
● CATALOGUE to discovering groups in the sample data, that are in
some way or another "similar", without using known structures.
● STATISTICS to evaluate the goodness of the catalogue clustering.
●CLASSIFIER to generalizing known structure, to apply to new
data.
● AGENCY to return some diagnosis and suggestions, about the user
data management, checking the goodness of the classification.
plus a interactive CONSOLE to help the data-analyst to:
● Driving the catalogue and the other tools
● Reporting and graphing the results of the tools
Data mining with self-organizing map (SOM)
Know4Business, to catalogue and classify your data, exploits the
data-mining model was first described as an artificial neural network
by the Finnish professor Teuvo Kohonen, and is sometimes called a
Kohonen map, characterized by a competitive learning strategy.
Catalogue trains the neural network, with a few data sample, and
Classifier classifies all your data, with the already trained knowledge
matrix.
Knowledge discovery work-flow
Know4Business end-to-end process of knowledge discovery,
provides a simple work-flow, with some useful feedback capabilities:
●Classification operates forward to the catalogue of the sample data.
●Statistics about the catalog clustering can suggest some filtering
rules, both on cardinality and dimensions, on the sample data.
●Agency can also influence some source filtering rules and/or put
something to data management, depending on the circumstances.
witch enables a kind of data knowledge “auto-poiesis”, minimizing
the human intervention.
Knowledge discovery customization
Know4Business provides Agency tool as a unique
point of customization (PoC) to the user data
management requirements.
Agency tool can actuate some of its diagnosis and
suggestions, in the specific API call to the user data
management procedures.
Personal Work Bench Option (PWB)
Know4Business provides a Personal Work Bench
option (PWB), witch implements a free self-service
Google Apps, to demonstrate, live on the cloud, the
data mining features and performances, to single users.
PWB provides a KB_Dashboard (v. fig.) to manual
handling the Know4Business tools (no Agency).
PWB admits only some limited-sized data-sources,
coming from your files uploading or from Google Docs
Spread-Sheets.
Main advantages
● The ease of use, based upon a simple HTML 5
GUI, to use the tools and to look to the results.
● The clear implementation, based upon an object
oriented paradigm and an authentic SaaS, for the
cloud computing, architecture.
Integration of the basic Google Apps
Docs Spread-Sheet, Graph, Accounts
Google API requirements
● Data Store (Read/Write)
● Blob Store (Read/Write)
● Task Queue (Write)
● Docs (Read/Write)
● Graphs (Write)
● User Provisioning (Read only)
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