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blog Data Mining


Nastel Technologies®
June 10, 2019

Data Mining – At their core, data scientists have a math and statistics background. Out of this math background, they’re creating advanced analytics. On the extreme end of this applied math, they’re creating machine learning models and artificial intelligence. Just like their software engineering counterparts, data scientists will have to interact with the business side. This includes understanding the domain enough to make insights.

Data scientists are often tasked with analyzing data to help the business, and this requires a level of business acumen. Finally, their results need to be given to the business in an understandable fashion. This requires the ability to verbally and visually communicate complex results and observations in a way that the business can understand and act on them.

Thus, it’ll be extremely valuable for any aspiring data scientists to learn data mining — the process where one structures the raw data and formulate or recognize the various patterns in the data through the mathematical and computational algorithms. This helps to generate new information and unlock various insights.

Here is a simple list of reasons on why you should study data mining?

  • There is a heavy demand for deep analytical talent at the moment in the tech industry.
  • You can gain a valuable skill if you want to jump into Data Science / Big Data / Predictive Analytics.
  • Given lots of data, you’ll be able to discover patterns and models that are valid, useful, unexpected, and understandable.
  • You can find human-interpretable patterns that describe the data (Descriptive), or
  • Use some variables to predict unknown or future values of other variables (Predictive).
  • You can activate your knowledge in CS theory, Machine Learning, and Databases.
  • Last but not least, you’ll learn a lot about algorithms, computing architectures, data scalability, and automation for handling massive datasets.

In my last semester in college, I did an independent study on Big Data. The class covers extensive materials in a book titled Mining of Massive Datasets by Leskovec, Rajaraman, and Ullman. We discussed a lot of important algorithms and systems in Big Data such as MapReduce, Social Graph, Clustering…. This experience deepened my interest in the Data Mining academic field and convinced me to specialize further in it. Recently, I took again Stanford CS246’s Mining of Massive Datasets, which covered that book and featured lectures from the authors. Now being exposed to that content twice, I want to share the 10 mining techniques from the book that I believe any data scientists should learn to be more effective while handling big datasets.

This article originally appeared on To read the full article, click here.

Nastel Technologies uses machine learning to detect anomalies, behavior and sentiment, accelerate decisions, satisfy customers, innovate continuously.  To answer business-centric questions and provide actionable guidance for decision-makers, Nastel’s AutoPilot® for Analytics fuses:

  • Advanced predictive anomaly detection, Bayesian Classification and other machine learning algorithms
  • Raw information handling and analytics speed
  • End-to-end business transaction tracking that spans technologies, tiers, and organizations
  • Intuitive, easy-to-use data visualizations and dashboards

If you would like to learn more, click here.

Nastel Technologies is the global leader in Integration Infrastructure Management (i2M). It helps companies achieve flawless delivery of digital services powered by integration infrastructure by delivering tools for Middleware Management, Monitoring, Tracking, and Analytics to detect anomalies, accelerate decisions, and enable customers to constantly innovate, to answer business-centric questions, and provide actionable guidance for decision-makers. It is particularly focused on IBM MQ, Apache Kafka, Solace, TIBCO EMS, ACE/IIB and also supports RabbitMQ, ActiveMQ, Blockchain, IOT, DataPower, MFT, IBM Cloud Pak for Integration and many more.


The Nastel i2M Platform provides:


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