Data Mining on the Use of Railway Stations

Our new paper: Data Mining on the Use of Railway Stations

This article deals with the processing of data on the entrances and exits of passengers for railway stations in Moscow and the suburbs. Smart transport cards are used worldwide in transport applications as a payment tool. So, for railways (cities) its usage creates the big and constantly updated collections of transactions data from cards validation equipment. The deployment model for railways in Moscow region allows us to know exactly the starting and ending points of the each route. This detailed information allows us to obtain generalized information on the modes (models) of the actual use of the railway transport. The detected travel patterns could be mapped to the model of the social and economic behavior of residents of the capital region. And vice versa, we can use known artifacts of the behavior of the inhabitants of the region as the search patterns for transport data.The conclusion that mobility is one of the main characteristics and one of the key components of a smart city is a well-known fact.

Data Science Books

10 Free Must-Read Books for Machine Learning and Data Science

On Proximity-Based Information Delivery

In this paper, we propose and discuss one approach to a data sharing among mobile subscribers. Our idea is to use the identification of wireless networks to simulate some analogue for a peer-to-peer network that will work in the absence of telecommunications infrastructure. A single mobile phone (smartphone) will be sufficient both for creating a node of such telecommunications network and for publishing (disseminating) information. Our proposal is the further development of ideas related to context-aware systems based on network proximity principles. The proposed model allows mobile users to create information hubs directly at the location of the mobile phone of the publisher, which will distribute information for mobile subscribers in the immediate vicinity of it. Our new paper.

On transport models

On Passenger Flow Estimation for new Urban Railways

In this paper, we discuss the questions, associated with the forecast for passenger traffic for urban railways. The aim of the study is to select and verify the model for predicting passenger traffic of new urban railways. The article is based on the practical tasks implemented during the project phase for new urban railways in Moscow, Russia. We are considering data sources for building the forecast, as well as practical models that can be used to obtain numerical estimates. Among the discussed data sources, we target migration data that can be collected with the help of telecommunications operators, and information on the use of public transport, obtained from the validation of transport cards. Also, in this paper, we investigate the metrics for traffic along the new city rail line, which can be determined on the basis of the projected passenger traffic. The result of the work was the constructed model of the transport behavior of passengers, taking into account the availability of new urban railways and a set of metrics for assessing the functioning of this transport tool.

Use cases for time series database

Axibase Time Series Database: Usage Examples and Research Articles

See more about time series databases

On machine learning speculations

In this paper, we focus on the following four patterns that appear to us to be trending in ML scholarship:

Failure to distinguish between explanation and speculation.
Failure to identify the sources of empirical gains, e.g. emphasizing unnecessary modifications to neural architectures when gains actually stem from hyper-parameter tuning.
Mathiness: the use of mathematics that obfuscates or impresses rather than clarifies, e.g. by confusing technical and non-technical concepts.
Misuse of language, e.g. by choosing terms of art with colloquial connotations or by overloading established technical terms.

from here

More Data Science Books

10 More Free Must-Read Books for Machine Learning and Data Science

5G and Digital Economy

Our presentations from 22st Conference of Open Innovations Association FRUCT:

On 5G projects for urban railways and Russian Digital Economy program

On Digital Economy Issues Looking From the Information Systems Viewpoint

Papers from conrefence: here и here

AI book

Artificial Intelligence: A Modern Approach

Data Science Books

Yet another good collection of free data science books

Procurement assessment

The Art of Service's Procurement Standard Requirements Excel Dashboard and accompanying eBook is for managers, advisors, consultants, specialists, professionals and anyone interested in Procurement assessment. You can see it here

AIST-SUP 2017

Supplementary Proceedings of the Sixth International Conference on Analysis of Images, Social Networks and Texts (AIST-SUP 2017), Moscow, Russia, July 27 - 29, 2017

SAS on ML

Which machine learning algorithm should I use?

P.S. see more posts about machine learning

IoT education

Our new paper:

Namiot D., Sneps-Sneppe M., Daradkeh Y. On internet of things education // Open Innovations Association (FRUCT), 2017 20th Conference of. — Piscataway, NJ, United States: Piscataway, NJ, United States, 2017.

In this paper, we discuss educational courses for Internet of Things and related areas such as Machine to Machine communications and Smart Cities. The Internet of Things models introduce many new business prospects and, of course, they should be presented in the university curriculum. The purpose of the discussed educational program is to examine issues related to information and communication technologies used in Internet of Things projects and related areas based on them, such as Smart Cities. The educational course proposed in this paper aims to introduce students to modern information technology, standing for such areas as Machine to Machine communications, Internet of Things, and Smart Cities