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Validity and Reliability in Data Science: An Interdisciplinary Perspective
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.

Data Anonymization Using the Random Sum Method
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.

Publishing, The Choice and The Luck
From BLOG@CACM

Publishing, The Choice and The Luck

Selecting publishing targets is a process with no simple solutions.

Understanding NoSQL Database Types: Column
From BLOG@CACM

Understanding NoSQL Database Types: Column

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

NoSQL: A Beginner's Guide
From BLOG@CACM

NoSQL: A Beginner's Guide

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

Are My Requirements Complete?
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.

Did We Just Replace the 'Knowledge Bottleneck' With a 'Data Bottleneck'?
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.

Keynotes at SIGIR 2017
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.

SIGIR 2017: Diversity and Inclusion
From BLOG@CACM

SIGIR 2017: Diversity and Inclusion

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

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

SIGIR 2017 Day 1: Neural Networks For IR

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

What Happened?
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.

What It's Like to Win the Turing Award
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...

Exascale Computing and Big Data: Time To Reunite
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.

Lessons from Winnie the Pooh: Sustainable Cyberinfrastructure
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...

The Frontier of Small Data
From BLOG@CACM

The Frontier of Small Data

 A quick view of Deborah Estrin's small data work.

Are Data Miners Ready to Hang ­p the Hard Hat and Put on a Lab Coat?
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.

What Does 'Big Data' Mean (Part 4)?
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.

What Does 'Big Data' Mean? (Part 3)
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.

Exciting 'Big Data' Medical Applications
From BLOG@CACM

Exciting 'Big Data' Medical Applications

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

HPC, Big Data and the Peloponnesian War
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,...
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