Knoldus Blogs

MachineX: Why no one uses apriori algorithm for association rule learning?

April 19, 2018July 19, 2018Artificial intelligence, ML, AI and Data Engineering, Studio-Scalaapriori, Artificial intelligence, association rule learning, efficiency, Machine Learning, MachineX, performance, support

Reading Time: 3 minutes In my previous blog, MachineX: Two parts of Association Rule Learning, we discussed that there are two parts in performing association rule learning, namely, frequent itemset generation and rule generation. In this blog, we are going to talk about one of the algorithms for frequent itemset generation, viz., Apriori algorithm. The Apriori Principle Apriori algorithm uses the support measure to eliminate the itemsets with low Continue Reading

Jmeter Load Testing:Send and Receive Email

April 18, 2017June 8, 2018Studio-Scalaemail load testing, JMeter, jmeter emails, load testing, opensource, performance, Performance Testing, stress testing, Testing

Reading Time: 2 minutes Email notification, send email and retrieve email is a important part of any company or organisation so if you have your email server and want to know the email performance of email server then we can use the jmeter. Beauty of jmeter is it gives the power in your hand you can measure the performance of send email same as received email performance.So we can Continue Reading

GPU, the soul

January 31, 2016February 1, 2016Studio-Scalacpu, GPU, performance, Spradus

Reading Time: 3 minutes For all these years, we have have been galvanized by the advancements in the field of computing. Most of it is aligned with the introduction of better and powerful CPUs. First there was a single CPU whose speed was the main focus. Once, that part hit the wall, there were more cores on the CPUs. Today, even the mobile phones boast of quad core processors. Continue Reading

Tuning apache spark application with speculation

July 22, 2015July 22, 2015Apache Spark, Big Data and Fast Data, Spark, Studio-ScalaApache Spark, Big Data, cluster computing, performance, scala, Spark

Reading Time: 2 minutes What happen if spark job will be slow its a big question for application performance so we can optimize the jobs in spark with speculation, Its basically start a copy of job in another worker if the existing job is slow.It will not stop the slow execution of job both the workers execute the job simultaneously. To make our job speculative we need to set Continue Reading