Generating Synthetic Time Series Data using Java Programming
As researchers push the boundaries of computational analytics to predict outcomes from measurements and trends, they are challenged by the availability of datasets to test their programs. Thus, a faster and easier data synthesis can help such researchers by generating synthesized virtual data sets which will allow them to validate their programs and thus improve the quality of their research..
As researchers push the boundaries of computational analytics to predict outcomes from measurements and trends, they are challenged by the availability of datasets to test their program - Agree
The Data Truthfulness: A Big Data understanding
As the smart information age matures, data has become the most powerful resource enterprises have at their disposal. The data is consider as the most valuable commodity on the globe, far ahead than the crude oil in economy list. The paper is an attempt to provide a complete understanding about the trustworthiness of data in the big data framework. The current article provide the complete insight a
Big data is a term that describes the large volume of data – both structured and unstructured that inundates a business on a day-to-day basis. .It's what organizations do with the data that matters. Big data can be analyzed for insights that lead to better decisions and strategic business moves.The above article clearly explain the Big Data concepts.Very well written.
Artificial Friend or Virtual Foe
This is a white paper focused on the use and impact of AI for social good initiatives. Several studies and prototypes have been run to prove the value of AI in high-impact fields such as healthcare (Chunara et al., 2012; Caicedo-Torres et al., 2016; Pathak and Kumar 2016; Robertson and DeHart 2010; Waidyanatha et al., 2013) or environmental issues (Tehrany et al., 2014; Ferris, 2010; Tien Bui et al., 2012; Kapoor et al., 2010). However, it is becoming clear that AI poses as many threats as benefits, although the former ones are usually neglected.
AI is currently only as good as we allow it to be, but equally, great results can be achieved with the help of AI to augment the work humans already do. Much of the talk around the uses of AI has been centered on the technology occupying the more time consuming and trivial tasks, freeing people to deal with more creative and complex work.
Blockchain Technology a Changing Face of Healthcare
Blockchain innovation has increased extensive consideration, with a raising enthusiasm for a plenty of various applications, going from information the board, money related administrations, digital security, IoT, and nourishment science to human services industry and mind examine. There has been a wonderful intrigue seen in utilization of blockchain for the conveyance of sheltered and secure human
Blockchain a very vast and big topic to cover. It is the next big thing and will prove a revolution in future..
Raw Data Collection 2020: Principles and Challenges
Raw Data (also known and often referred to as Primary Data) collection is the starting point of any data analysis. Once the RD (Raw Data) is collected, it is processed to turn it into Information that can be converted into Knowledge further down the analysis track. The purpose of this White Paper is to explain the key RD collection principles and challenges and how these principles and challenges.
Nice..As John Legend pointed out: ‘’The Future has started yesterday, and we are already late’’! great quote
Using SAS Viya to Analyze Love at First Sight
According to the 2017 Elite Singles poll the majority of people, 61% of women and 72% of men believe in love at first sight. The paper walks you through the analysis and visualisation of a speed dating dataset garnered from Columbia University. It helps you to understand the most important factors and how to predict a potential match with that special someone, the first time we meet.
According to the 2017 Elite Singles poll the majority of people, 61% of women and 72% of men believe in love at first sight. - Do you the latest number?
Data Analytics Integrity: Challenges to Implementation of the Automated Data Collection Processes
In recent months, my company (Baron Consulting) has been proactively involved in setting up Data Collection Systems for a range of Private and Public Organisations we are servicing. Some of the data collection challenges have already been discussed in our recent Raw Data Collection 2020: Principles and Challenges White Paper. While the RDC (Raw Data Collection) paper analysed the current state of
. Some of the data collection challenges have already been discussed in our recent Raw Data Collection 2020: - Nicely explained concept
Evolving Role of Data Scientist in the Age of Personalization
This point of view is an exploration of the possibilities engendered by rethinking the role of data scientists in the wake of the industrial revolution. It also explicitly highlights the potential role of Data scientists as an emerging phenomenon, and then to show some of the benefits that this role can bring as we move towards industrial disruption
the potential role of Data scientists as an emerging phenomenon, and then to show some of the benefits that this role can bring as we move towards industrial disruption - Agree nice point
Quantitative Big Data Analysis Limitations: When Numbers Fail to Tell the Full Story!
Quantitative analysis is no panacea from mistakes and discrepancies. The purpose of this White Paper is to consider contemporary challenges of the Quantitative Big Data analysis activities.
Complexity of the Big Data Environments - A challenge for some startups, any thought what is the optimal solution for them
Cyber Physical Systems
Internet of Things
Often called a Next Generation Computing System Cyber Physical Systems use smart computation techniques associated with physical world and computational units. The CPS can interact with the real-world systems by means of Computation, Communication and controls. The interaction of computational and physical units leads to advanced implementations of Internet of Things (IoT). IoT and CPS are designed to support real time applications which can manage many environmental datasets. In other words, CPS is a combination of digital controls and the physical environment.
Hi Prof. Bala, it's really appreciated and the content provided in the link shares good inceptions on NEXTGEN CompSystems. and more of IOT Implementations. Thanks & expecting more such from you Professor ... ! ! !