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 Geophone Data Mining Ricardo Aguirre

Geophone -- Data Mining Presentation

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Page 1: Geophone -- Data Mining Presentation

   

Geophone Data MiningRicardo Aguirre

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Università degli Studi di Padova

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What does Data Mining is?

● The process for: – select

– explore

– model big data volumes.

● For discover periodicity and not knowing relations.

● It search useful and clear results● Is many useful for the data base proprietary.

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Knowledge Data Discovering

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The Data mining process● 1. Defining analysis goals.● 2. Select, organize and prepare data.● 3. Data exploration analysis and eventual

transformation. ● 4. Establish statistical methods for

elaboration phase:– Exploratory methods

– Descriptive methods

– Forecast methods

– Local methods

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The Data mining process (will continue)

● 5. Data elaboration, using the previously selected methods.

● 6. Evaluation and validation of statistical methods, select a final analysis model.

● 7. Model interpretation and future appliances on decision processes.

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1. Defining analysis goals.● shows citizen behaviors like:

– Who lives/works in certain area

– Which are their “working days”

– Who like certain things (such as assist to the soccer stadium each two weeks)

– Who buy in well known supermarkets.

– Who has little childs, because go to kinder garden each day in the open/close hours.

– Who is using train service, because he follow the rail lines.

– Who use car daily, because follow the freeway route.

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2. Select, organize and prepare data.

● Create Metadata Database● Populate it

– Delimitate problem just for a city

– Make an database extraction just for considering that city.

– Research entire city services and its addresses

– Transform each addresses in geopositions

– Create Relations between “Service Places” and “base stations”

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3. Data exploration analysis and eventual transformation

● Transaction Data with Missing and Incomplete Fields

– CELL_TO_LOCATION_TRACE()

– lookUnlocalizedCells()

● Content changes along the time

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4. Establish statistical methods for elaboration phase

● We decide to use a Business Rule-Engine– The underlying idea of a rule engine is

to externalize the business or application logic

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Data Mining Differs from Typical Operational Business

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next steps?● Finish Geophone Data Mining

– Continue working with the Rule-Engine

– Making Decision Trees

– Link analysis

– Cluster Analysis

● Create Real-time Embedded System, – this software piece will replace Mobile Application

– will be installed on Base-Stations

– will avoid all cell management problems and many of current data acquisition problems.

● Get ready for Anthropological Approach