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Data Mining with Weka -Installation

Weka - Data mining Tool W eka is a tool for big data and data mining. It is used to various classification, experiments, and analysis over large data sets. Installation Guide -weka  You can download Weka from   here   and follow the normal installation procedure. After completion you will get following window, here you can begin your classification or experiment on different data sets with Weka.

Data Mining With Weka -DataSets

Weka - Data Mining Tool Data Sets You can download datasets from  Here   (eg. Adult, Irish, Zoo etc used here) and save the datasets in to “.arff” format. All the datasets are in numeric value format so I changed it into Nominal values in order to process by algorithms used in Weka by following process:          Click Open file in order to open dataset file eg. Adult.arff          Select Choose > Filter > Unsupervised >attribute> NumericToNominal          Click All to apply change to all  attributes          Click Apply          See the Result > Type: Nominal         Click Save to save the result eg. Adult.arff Furthermore, we can found number of attribute as 15, and instances as 32562 and Relation as conversion to Nominal. Same Procedure applied to all data sets for eg: In irish , we can found ...

Data Mining with Weka -Installation

Weka - Data mining Tool W eka is a tool for big data and data mining. It is used to various classification, experiments, and analysis over large data sets. Installation Guide -weka  You can download Weka from   here   and follow the normal installation procedure. After completion you will get following window, here you can begin your classification or experiment on different data sets with Weka.

Twitter Strom - Analysis of Distributed System

Analysis of Distributed System -Twitter Strom Storm is a real time distributed stream data processing system with fault-tolerant capabilities. Storm is used on today’s one of the most popular social networking site Twitter to run various critical computations at large scale, and in real-time. Storm has simple distribute system architecture and built with various features like fault tolerance, latency, efficient and easy human intervention etc. and can be used on very complex distribute stream data processing. It uses very simple topology for various functions like (tweet) word count  in one of the most popular social networking site Twitter. Strom uses Nimbus and Zookeeper for internal architecture which handles supervision and worker message flow architecture activities. Furthermore, a popular method for generating Storm topologies at Twitter is by using Summingbird. Summingbird is a general stream processing abstraction, which provides a separate ...

Yahoo ! S4 - Analysis of Distributed System

Analysis of Distributed System -Yahoo ! S4 S4 is designed on the context of the search engine (Yahoo! Search Engine) which supports data mining and machine learning algorithms, instigate on MapReduce model. So, it makes possible to parallelize and distribute batch processing tasks and operations in immense clusters without less or no human intervention over issues like failover management. It is low latency scalable stream processing engine which streams the event flow at given data rate automatically. Unlike Hadoop (the popular batch processing system), S4 works based on MapReduce (stream processing system typically operate on static data by scheduling batch jobs). On the contrary, it needs segment partitioning of the input data in fixed sized segments to be processed by MapReduce platform where latency is proportional to length of the segment plus overhead requirement for segmentation and initiates processing jobs; apparently it’s a tradeoff between latency and segmenta...

Compiling sample program in C++

Write a program to print hello.    /* This is use to write comment multiplication and slash */ #include<iostream>     /* header file library for visual C++ programming*/   using namespace std;                        /*The new feature in c++ for standard name space*/  int main()                                                    /* Main function of program*/ {                                                                             /*opening curly braces for function main*/  cout <<"Hello World ! \n"   /*cout is use as...
How to use your Laptop as a Wifi hotspot in windows? 1. Open your command prompt as a administrator (windows key + X and select command prompt (Admin)). 2. Type following: netsh wlan set hostednetwork mode = allow ssid = NameForWifi key = Password Now to start network type: netsh wlan start hostednetwork Now open Open  Network and sharing  Center and click on newly created network  Go to property -> Sharing -> click on first option-> allow sharing. Now your hot spot is ready; Enjoy wifi