What is Data Science?

Bob Nisbet, Ph.D. says:
“I consider myself a data scientist. The three major elements in my background and continued operation are database architecture, business intelligence reporting, and data mining. I have worked professionally in all three of these areas, and all three are necessary elements of building the “business organism” in a company. Many companies operate in a “brainless” manner, with no integrated circulatory system providing the business information “nutrients” to support the business body, and no “digital nervous system” (a’ la Bill Gates) in which to vend products of data mining done in the business brain. All three of these elements are necessary to provide the communication and support pathways to bring decisions based on data mining analyses into action to create profitability in the company. This is the approach I present in my book, “Handbook of Statistical Analysis & Data Mining Applications”.  (Source: Gartner)

 

datascience_MD

Data Science Applications

Statistical Correspondence Map using Tableau & R

correspR

Data source activation and distributed data extraction (PhD Study)

decDataPhD study

How interesting if the sensors are considered as humans and activation considered as propagation of a message. An ideal study application for word of mouth advertising.

Data in Traffic forecasting

We identified traffic hotspots using fuzzy based mapping.

googletrafficmonashfreeway

(ARRB: Freeway Traffic Flow under congested Conditions using Fuzzy Analysis)

We foretasted heavy vehicles traffic using previous patterns with artificial neural networks.

ARRB_ANN

(ARRB & AUSTROADS: Correlation of WIM Data with Classified Counts: Using Artificial Neural Networks to Identify Load Distribution at Classifier Sites)

Data in Landslide Hazard Forecasting

Badulla

(NBRO: Landslide Hazard Mitigation Project, Fuzzy Analysis with Spatial Data, Presented in APCOM’98)

Data Security

 

Learning Data Science

MBusA-Data-scientist-v2

(Courtesy: University of Melbourne, Melbourne Business School)

My Skills in Analytics

To substantiate above, some facts,  research report which involved data extraction from all parts of Queensland, however it was intended to cover all Australia.  This report contains my contribution in Traffic data analytics using Fuzzy Logic, This report contains analysis of spatial data.  Analytics to assess risks, This site contains all the papers I have published,  The paper which was based on my Masters Studies got 20 citations.  I studied analytics with references to more than 480 papers, books and journals during my PhD Studies.  My PhD Thesis was examined in-house by two top computer writers in the industry, Prof Justin Zobel & Prof Alistair Moffat and two examiners from USA.

Analytics in practice (Some)

  • Network Activation Time (Unimelb Network Analytics)
  • Goodput (University of Melbourne)
  • Human Resource Index (TRCSL)
  • Internet Performance Index (TRCSL)
  • Landslide susceptibility Index (NBRO)

 

Data Science

Updated on 2016-04-07T11:05:14+00:00, by admin.