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April 25, 2018
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The incomputable: journeys beyond the Turing barrier
Computer science is composed of two major areas. One is strongly related to engineering: the architecture and design of computing systems and the development of tools to employ such systems. The other is more related to scientific inquiry, although to those outside the field it may... more
Quote
computer science n. [Origin: possibly Prof. P. B. Fellgett’s rhetorical question, “Is computer science?”] 1 A study akin to numerology and astrology... more
- Stan Kelly-Bootle (1981)
Articles
Industry 4.0 & Internet of Things in supply chain: CLIHC 17

This paper intends to report the first results of ongoing research on the topic of the Internet of Things (IoT) in supply in the context of Industry 4.0. The terms “Industrial Internet of Things (IIoT)” and... more

Miscellaneous (H.5.m) | Apr 23 18

User preference learning for online social recommendation: IEEE Transactions on Knowledge and Data Engineering

Social recommendation models are attaining more and more attention and relevance in the fast-growing world of social media and social relations. Matrix factorization-based methods... more

Data Mining (H.2.8...) | Apr 23 18

Evaluating and improving fault localization: ICSE 17

We rarely see a software engineering paper that aims to prove a point from multiple views. Even better, this study not only refutes prior finds in the fault localization research field, but also proposes a combination... more

General (D.2.0) | Apr 20 18

Beyond the words: predicting user personality from heterogeneous information: WSDM 17

In contemporary digital culture, everyday life is permeated by computer-mediated activities. As a byproduct, a reservoir of digital trace data is generated. Can this data be leveraged to infer one’s... more

General (H.2.0) | Apr 19 18

Surveying stylometry techniques and applications: ACM Computing Surveys

Stylometry is analysis of textual data to find hidden patterns. This paper provides a comprehensive survey on this topic. The paper contains three main parts. In the first part, the authors consider five... more

Natural Language Processing (I.2.7) | Apr 19 18

Mining top-k high-utility itemsets from a data stream under sliding window model: Applied Intelligence

Nowadays most areas of commerce, science, or business generate data in such copious ways that they just cannot be organized in traditional databases anymore; instead, they... more

Data Mining (H.2.8...) | Apr 19 18

Advanced Internet of Things for personalised healthcare systems: Pervasive and Mobile Computing

The Internet of Things (IoT) is becoming a cornerstone technology that is being used for affordable enhancement in the healthcare sector. Using IoT-enabled medical applications today shows... more

Sensor Networks (C.2.1...) | Apr 18 18

Model-based testing of probabilistic systems: Formal Aspects of Computing

Gerhold and Stoelinga’s paper proposes an interesting framework to test probabilistic systems based on the concepts of soundness and completeness. The crux of their argument is “the conformance relation for probabilistic... more

Model Checking (D.2.4...) | Apr 18 18

Network on chip architecture for multi-agent systems in FPGA: ACM Transactions on Reconfigurable Technology and Systems

Hardware agent architecture is based on event-driven reactive architecture. In this architecture, each agent has defined tasks and these tasks interact using events. Events can be used to pass data and control... more

Parallel Architectures (C.1.4) | Apr 17 18

Fast and accurate time-series clustering: ACM Transactions on Database Systems

Clustering temporal data, namely time series, is a challenging and expensive computational task in terms of accuracy and speed. Despite the fact that a wide variety of time-series clustering algorithms exist... more

Clustering (H.3.3...) | Apr 16 18

Books
Python for scientists (2nd ed.)

This volume provides an important update to the resources available to physicists and other scientists who manipulate quantitative data for one of their most common tasks: computation. Historically, highly interactive resources like the slide rule and the desk calculator enable... more
Python (D.3.2...) | Apr 24 18

Understanding information: from the big bang to big data

This is a very good book! It’s a thought piece about a range of ideas that couples information across several disciplines and across large timeframes. As the title suggests, it’s illustrations range from the big... more
General (H.0) | Apr 24 18

Digital preservation: putting it to work

I could walk into the British Library in London tomorrow and (assuming that my Latin was up to the task) read the Magna Carta, written in 1215, that is stored there. Today, however, important documents tend to be stored only in digital format and the trauma of a... more
Data Warehouse & Repository (H.2.7...) | Apr 24 18

The data journalist: getting the story

Contemporary data journalism goes far beyond the old-time beat reporter who would review the daily police reports. Technology is obviously transforming the retrieval and analysis of information. The authors, journalists and professors at a Canadian university, provide an... more
General (H.0) | Apr 24 18

Mathematical basics of motion and deformation in computer graphics (2nd ed.)

Computer graphics is a branch of computer science involved in studying and devising methods to generate and manage digital graphical representations. Nowadays computer graphics is ubiquitous, found in... more
Comp. Geometry & Object Modeling (I.3.5) | Apr 18 18

Towards a synergistic combination of research and practice in software engineering

This book is a collection of 15 papers chosen from 43 delivered at the KKIO Software Engineering Conference in Poland in 2016. The authors of the papers had the opportunity to revise their work prior to publication in this compendium, which is Volume 733 of the... more
General (D.2.0) | Apr 18 18

Introduction to Google Analytics

Kelsey considers the acquisition of digital/online marketing skills as an integral part of business intelligence. Knowing about the performance of websites and ad campaigns helps businesses track the return on their investments (ROI) by being able to see... more
Marketing (J.1...) | Apr 17 18

Website hosting and migration with Amazon Web Services

Amazon Web Services (AWS) is one of the key players in providing modern cloud infrastructure to businesses of all sizes. This book is a good introductory resource for a person who wants to dive into the AWS world... more
Web-Based Services (H.3.5...) | Apr 13 18

Practical Python design patterns: Pythonic solutions to common problems

Python programmers (as well as programmers in other languages) use patterns all the time. For example, the Python statement “for character in string” is a pattern for traversing a string. One of the strengths of... more
Patterns (D.3.3...) | Apr 12 18

Game theory for data science

Quality is crucial for any use of collected data. In addition to more traditional methods of data cleansing for data warehousing, new kinds of data provided by people have become important. To get truthful information from the answering individuals, proper motivation and... more
Content Analysis & Indexing (H.3.1) | Apr 12 18


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