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I have noticed that there is a growing trend to dumb down the CS curriculum by removing mathematical topics.

From BLOG@CACM
#### Validity and Reliability in Data Science: An Interdisciplinary Perspective

We examine the essence of the components of data science, as well as their interrelations, from the educational perspective.

From BLOG@CACM
#### Data Anonymization Using the Random Sum Method

The purpose of this blog post is to present an anonymization method that can be applied to the digital attributes of personal data.

From BLOG@CACM
#### Publishing, The Choice and The Luck

Selecting publishing targets is a process with no simple solutions.

From BLOG@CACM
#### Understanding NoSQL Database Types: Column

The elements of one of the most used and popular data designs around.

From BLOG@CACM
#### NoSQL: A Beginner's Guide

What exactly is NoSQL, and why should it matter in today's hyper-connected society?

From BLOG@CACM
#### Are My Requirements Complete?

Knowing the notion of sufficient completeness and the theory of abstract data types helps practitioners produce better requirements.

From BLOG@CACM
#### Did We Just Replace the 'Knowledge Bottleneck' With a 'Data Bottleneck'?

In practice, it seems that avoiding the knowledge acquisition bottleneck has not resulted in any net gain.

From BLOG@CACM
#### Keynotes at SIGIR 2017

This article summarizes the keynotes in the main session and from the Workshop on Conversational Approaches to Information Retrieval.

From BLOG@CACM
#### SIGIR 2017: Diversity and Inclusion

This article describes activities to support diversity and inclusion at SIGIR 2017 in Tokyo, Japan.

From BLOG@CACM
#### SIGIR 2017 Day 1: Neural Networks For IR

Blog on a one-day tutorial on Neural Networks at SIGIR 2017.

From BLOG@CACM
#### What Happened?

As forecasters attempt to understand exactly what happened in the 2016 U.S. presidential election, the data itself may hold vital clues.

From BLOG@CACM
#### What It's Like to Win the Turing Award

Michael Stonebraker is an adjunct professor in the Massachusetts Institute of Technology's Computer Science and Artificial Intelligence Laboratory, and recipient...

From BLOG@CACM
#### Exascale Computing and Big Data: Time To Reunite

It is past time to reunite the big data, cloud, and high-performance computing communities. Each can each learn much from the other.

From BLOG@CACM
#### Lessons from Winnie the Pooh: Sustainable Cyberinfrastructure

The longitudinal value of research data often accrues to disciplines other than those where it was created. We need a new model that judiciously balances investment...

From BLOG@CACM
#### Are Data Miners Ready to Hang p the Hard Hat and Put on a Lab Coat?

We will find out this week at the annual ACM SIGKDD on Knowledge Discovery and Data Mining conference in Chicago.

From BLOG@CACM
#### What Does 'Big Data' Mean (Part 4)?

The "big variety" use case is examined, in this fourth post in a series on big data.

From BLOG@CACM
#### What Does 'Big Data' Mean? (Part 3)

The "big velocity" use case is examined in this third post in a series on big data.

From BLOG@CACM
#### Exciting 'Big Data' Medical Applications

A quick look at two exciting medical applications of big data analysis.

From BLOG@CACM
#### HPC, Big Data and the Peloponnesian War

We need a concord and strategic research investment plan that recognizes the shared importance of HPC and big data. Both warrant investments in basic research,...