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Mab Alam
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Latest Activity

Prasanth liked Mab Alam's blog post Outlier detection with time-series data mining
Sep 11
George Joseph liked Mab Alam's blog post Finance basics for data scientists
Aug 1
Mab Alam posted a blog post

Finance basics for data scientists

I picked up a little book called “Finance Basics” published by Harvard Business Review Press, for a short in-flight reading. This tiny book isn't going to make someone a finance expert but I did find a few things useful for data scientists and business analysts whose background is not finance or economics. Data science is truly a multi-disciplinary area with people coming from many different background and areas of expertise, often with little to no exposure to finance and economics. So I am…See More
Jul 28
Mab Alam's blog post was featured

Finance basics for data scientists

I picked up a little book called “Finance Basics” published by Harvard Business Review Press, for a short in-flight reading. This tiny book isn't going to make someone a finance expert but I did find a few things useful for data scientists and business analysts whose background is not finance or economics. Data science is truly a multi-disciplinary area with people coming from many different background and areas of expertise, often with little to no exposure to finance and economics. So I am…See More
Jul 28
Marc Borowczak liked Mab Alam's blog post Outlier detection with time-series data mining
Jul 8
Daniel Reimann liked Mab Alam's blog post Outlier detection with time-series data mining
Jun 21
hameed ali liked Mab Alam's blog post Outlier detection with time-series data mining
Jun 21
hameed ali liked Mab Alam's blog post Time-series data mining & applications
Jun 21
shishir goel liked Mab Alam's blog post Time-series data mining & applications
Jun 13
TAYLAN ZAFER BALİ liked Mab Alam's blog post Outlier detection with time-series data mining
Jun 11
Mab Alam's blog post was featured

Outlier detection with time-series data mining

In a previous blog I wrote about 6 potential applications of time series data. To recap, they are the following:Trend analysisOutlier/anomaly detectionExamining shocks/unexpected variationAssociation analysisForecastingPredictive analyticsHere I am focusing on outlier and anomaly detection. Important to note that outliers and anomalies can be synonymous, but…See More
Jun 10
Gerardo Rojas liked Mab Alam's blog post Outlier detection with time-series data mining
Jun 7
Mab Alam posted a blog post

Outlier detection with time-series data mining

In a previous blog I wrote about 6 potential applications of time series data. To recap, they are the following:Trend analysisOutlier/anomaly detectionExamining shocks/unexpected variationAssociation analysisForecastingPredictive analyticsHere I am focusing on outlier and anomaly detection. Important to note that outliers and anomalies can be synonymous, but…See More
Jun 6
Edward Ghafari liked Mab Alam's blog post Data Science meets System Dynamics
May 31
Mab Alam posted a blog post

Time-series data mining & applications

A time series is a sequence of data points recorded at specific time points - most often in regular time intervals (seconds, hours, days, months etc.). Every organization generates a high volume of data every single day – be it sales figure, revenue, traffic, or operating cost. Time series data mining can generate valuable information for long-term business decisions, yet they are underutilized in most organizations. Below is a list of few possible ways to take advantage of time series…See More
May 31
Mab Alam's blog post was featured

Time-series data mining & applications

A time series is a sequence of data points recorded at specific time points - most often in regular time intervals (seconds, hours, days, months etc.). Every organization generates a high volume of data every single day – be it sales figure, revenue, traffic, or operating cost. Time series data mining can generate valuable information for long-term business decisions, yet they are underutilized in most organizations. Below is a list of few possible ways to take advantage of time series…See More
May 31

Profile Information

Short Bio
I am a PhD economist working with data for 12 years (grad schools included). Published widely in academic journals and served as a reviewer. Interested in a broad range of issues in data science and machine learning - including time series, forecasting and system dynamics. I like people who think outside box, who make a difference in the process of re-inventing wheels.
My Web Site Or LinkedIn Profile
http://twitter.com/DataEnthus
Field of Expertise
Data Science, Machine Learning, Business Analytics, BI
Professional Status
Technical
Years of Experience:
12
Your Job Title:
Research Economist
Interests:
Contributing, Networking

Mab Alam's Blog

Finance basics for data scientists

Posted on July 28, 2018 at 10:07am 0 Comments

I picked up a little book called “Finance Basics” published by Harvard Business Review Press, for a short in-flight reading. This tiny book isn't going to make someone a finance expert but I did find a few things useful for data scientists and business analysts whose background is not finance or economics. Data science is truly a multi-disciplinary area with people coming from many different background and areas of expertise, often with little to no exposure…

Continue

Outlier detection with time-series data mining

Posted on June 1, 2018 at 2:00pm 0 Comments

In a previous blog I wrote about 6 potential applications of time series data. To recap, they are the following:

  1. Trend analysis
  2. Outlier/anomaly detection
  3. Examining shocks/unexpected variation
  4. Association analysis
  5. Forecasting
  6. Predictive analytics

Here I am focusing on outlier…

Continue

Time-series data mining & applications

Posted on May 27, 2018 at 9:00pm 0 Comments

A time series is a sequence of data points recorded at specific time points - most often in regular time intervals (seconds, hours, days, months etc.). Every organization generates a high volume of data every single day – be it sales figure, revenue, traffic, or operating cost. Time series data mining can generate valuable information for long-term business decisions, yet they are underutilized in most organizations. Below is a list of few possible ways to…

Continue

Data Science meets System Dynamics

Posted on April 23, 2018 at 5:30pm 0 Comments

Developed at MIT’s Sloan School of Management in 1950s system dynamics is a methodological approach to model the behavior of complex systems, where change in one component leads to change in others (like the dominos effect with feedback loops added). This approach is widely applied in industries such as healthcare, disease research, public transportation, business management and revenue forecasting. The most famous application of system dynamics probably is in…

Continue

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