This Node.js app built with MongoDB allows users to compare both scores from Yelp and Google+ for a restaurant at the same time. It uses the Yelp, Google Maps and Alchemy Labs APIs, and dynamically scrapes text content of reviews to be scored with sentiment analysis to generate a third score. While the data pipeline for the third score is built, a dynamic th

BDP 05: CLUSTERING OF LARGE UNLABELED DATASETS OVERVIEW Real world data is frequently unlabeled and can seem completely random. In these sort of situations, unsupervised learning techniques are a great way to find underlying patterns. This project looks at one such algorithm, KMeans clustering, which searches for boundaries separating groups of points based

Improving energy efficiency is one of the key challenges facing Wireless sensor networks (WSNs), which are becoming more ubiquitous by the day. Since the nodes (sensors) often have to rely upon limited energy stores to execute their job of data collection as relaying of data from other nodes, optimization of data transfer path becomes important to enhance th

Data mining and knowledge discovery, refers to discover knowledge from huge amounts of data, has a broad application prospect.When faced with geological data, however, even the relatively mature existing models, there are defects performance and effect.Investigate its reason, mainly because of the inherent characteristics of geological data, high dimension,

The Rotten Tomatoes movie review corpus is a collection of movie reviews collected by Pang and Lee in [2]. This corpus has been analysed in [3] where each sentence is parsed into its tree structure and each node is assigned a fine-grained sentiment label ranging from 1 − 5 where the numbers represent very negative, negative, neutral, positive and very positi

In developmental robotics, robot learning algorithms generate their own sequences of learning experiences, also known as a curriculum, to cumulatively acquire new skills through self-guided exploration and social interaction with humans. These robots use guidance mechanisms such as active learning, maturation, motor synergies and imitation. Association rule

YCT project is a automatic stock data analysis tool, which can plot trend lines and key nodes that can be guided as candidates of buy or sell timings of those products.(YCT基于股市“缠论”理论进行自动化和智能化分析)

• Built a polling website for users to vote, search and discuss, as well as data analysis. • Developed the backend framework, routes by using React.js, Node.js, Express. • Built NoSQL database (MongoDB) and handled HTTP requestsa and response with RESTful APIs. • Designed interactive web pages by using JavaScript, jQuery, Ajax, HTML/CSS. • Implemented a

Node.js client for Google Cloud Prediction: Analyze your data to add various features to your applications, such as customer sentiment analysis, spam detection, recommendation systems, and more.

[Experimantal] Node.js data analysis and plot library

Different node attacks like black-hole attacks, hello flooding attacks, and denial of service (DoS) in a MANET are modeled and simulated in OMNET++ for different mobility models and node speed. Obtained results are analyzed in terms of data packet delivery ratio (PDR), end-to-end delay, network throughput, and energy consumption. This helps us understand the

List of all R codes used for the analysis of single cell data in the paper Blecher et al. on the study of immune cell communications.

This is a Windows agent which can collect usage data and windows event from Windows machine and capable of doing some amount of pre-processing and send the processed data to the central node for the further analysis.

Twitter Stream Aggregator and big data analysis using node.js, and HDInsight on Windows Azure

Problem Statement Introduction So far, in this course, you have learned about the Hadoop Framework, RDBMS design, and Hive Querying. You have understood how to work with an EMR cluster and write optimised queries on Hive. This assignment aims at testing your skills in Hive, and Hadoop concepts learned throughout this course. Similar to Big Data Analysts

RADSeq tool with Snakemake workflow integration for analysis of RAD sequencing data.

• The main objective of the project was to optimize weight of a Trussed Dome structure under various loading condition viz. dead load, wind load, snow load and thermal load. • The design region was a Steel Dome Structure, consisting 130 elements and 51 nodes. The Computer Aided Drawing (CAD) model was designed using SolidWorks. • The Elemental Stresses an

Analyse .osm tagged data using NodeJS and osmfilter

Framework for parallel processing based on Actor4j. Useful for data analysis.

The main objective of this project is to simulate and analyze protocols associated with Alternate path routing (APR) which can be used to achieve efficient routing in communications networks. We describe the link state routing approach to APR in connection-oriented networks, and evaluate their performance using simulations. The source node transmits the node