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Data Mining Practical Machine Learning Tools and Techniques

How has Japan become a major economic power, a world leader in the automotive and electronics industries? What is the secret of their success? The consensus has been that, though the Japanese are not particularly innovative, they are exceptionally skilful at imitation, at improving products that already exist. But now two leading Japanese business experts, Ikujiro Nonaka and Hiro Takeuchi, turn this conventional wisdom on its head: Japanese firms are successful, they contend, precisely because they are innovative, because they create new knowledge and use it to produce successful products and technologies. Examining case studies drawn from such firms as Honda, Canon, Matsushita, NEC, 3M, GE, and the U.S. Marines, this book reveals how Japanese companies translate tacit to explicit knowledge and use it to produce new processes, products, and services.

The knowledge-creating company : how Japanese companies create the dynamics of innovation

We will review some of the major results in random graphs and some of the more challenging open problems. We will cover algorithmic and structural questions. We will touch on newer models, including those related to the WWW.

Random graphs

This paper provides an overview of the Internet of Things (IoT) with emphasis on enabling technologies, protocols, and application issues. The IoT is enabled by the latest developments in RFID, smart sensors, communication technologies, and Internet protocols. The basic premise is to have smart sensors collaborate directly without human involvement to deliver a new class of applications. The current revolution in Internet, mobile, and machine-to-machine (M2M) technologies can be seen as the first phase of the IoT. In the coming years, the IoT is expected to bridge diverse technologies to enable new applications by connecting physical objects together in support of intelligent decision making. This paper starts by providing a horizontal overview of the IoT. Then, we give an overview of some technical details that pertain to the IoT enabling technologies, protocols, and applications. Compared to other survey papers in the field, our objective is to provide a more thorough summary of the most relevant protocols and application issues to enable researchers and application developers to get up to speed quickly on how the different protocols fit together to deliver desired functionalities without having to go through RFCs and the standards specifications. We also provide an overview of some of the key IoT challenges presented in the recent literature and provide a summary of related research work. Moreover, we explore the relation between the IoT and other emerging technologies including big data analytics and cloud and fog computing. We also present the need for better horizontal integration among IoT services. Finally, we present detailed service use-cases to illustrate how the different protocols presented in the paper fit together to deliver desired IoT services.

Internet of Things: A Survey on Enabling Technologies, Protocols, and Applications

There is an increasing trend for organizations to publish data over the web using data services. The published data is often associated with data concerns like privacy, licensing, pricing, quality of data, etc. This raises several new challenges. For instance, it must be ensured that data consumers utilize the data in the right way and are bound to the rules and regulations defined by the data owner and data service provider. Current Data Integration systems using data services lack the ability to preserve data concerns while querying multiple services in an integrated environment. In this paper, we design a new querying system which takes data concerns into account. It supports automatic service selection based on data concerns and perfectly fits into dynamic data integration applications.

/pdf/data-concern-aware-querying-for-the-integration-of-data-58em39x7mm.pdf

Data concern aware querying for the integration of data services

Summary Crowdsourcing has emerged as an important paradigm of human problem solving techniques on the Web. More often than noticed, organizations outsource tasks to humans which cannot be processed by software. In this work we demonstrate the application of service-oriented architectures (SOA) for enterprise crowdsourcing. Crowdsourcing applications typically utilize the capabilities of people in open and dynamic Web-based systems. We extend this concept and introduce knowledge crowds where crowd members collaborate in context of joint tasks. Interactions in such environments are performed using software services. Such highly dynamic socio-technical environments, however, demand for flexible interaction models due to varying interaction styles of people and services. Our main contribution centers around the convergence of process artifacts and emerging social structures. Here, we present the implementation of a real world example, a human assisted image processing service that is provided by a knowledge crowd. We discuss the foundational building blocks for realizing the design, execution, and adaptation of service-oriented crowdsourcing applications. Zusammenfassung Crowdsourcing hat sich als wichtiges Paradigma etabliert, um menschliche Fahigkeiten zur Problemlosung uber das Web anzubieten. Haufiger als allgemein bekannt lagern Organisationen Aufgaben auf externe Personen aus, insbesondere jene, die schwer von Software gelost werden konnen. In dieser Arbeit demonstrieren wir die Anwendung von Service-orientierten Architekturen (SOA) fur Crowdsourcing-Unternehmen. Crowdsourcing-Anwendungen nutzen typischerweise die Fahigkeiten von Menschen mittels offener und dynamischer Web-basierter Systeme. Wir erweitern dieses Konzept um die Einfuhrung von Wissensbasierten Crowds, also Systemen in denen Mitglieder im Kontext von gemeinsamen Aufgaben kollaborieren. Interaktionen in solchen Umgebungen werden mittels SoftwareServices realisiert. Solch hoch-dynamische sozio-technische Umgebungen verlangen, insbesondere aufgrund wechselnder Interaktionsmoglichkeiten und -mustern, jedoch nach flexiblen Interaktionsmodellen. Unser Beitrag konzentriert sich auf die Konvergenz von Prozessartefakten und entstehenden sozialen Strukturen. Wir prasentieren die Umsetzung eines realen Anwendungsfalles, konkret ein Service zur Personen-gestutzten Bildverarbeitung, welches von einer Wissensbasierten Crowd angeboten wird. Wir diskutieren die grundlegenden Konzepte fur die Realisierung, die Laufzeit und periodische Anpassung einer solchen Service-orientierten CrowdsourcingAnwendung.

http://www.infosys.tuwien.ac.at/Staff/sd/papers/Zeitschriftenartikel%20F.%20Skopik.pdf

Towards Social Crowd Environments

System support and mechanisms for adaptive edge-to-cloud DNN model serving.

Privacy and Security are one of the major research topics regarding the Internet of Things (IoT). Due to the vast amount of devices collecting and processing sensitive data, anonymity and privacy mechanism are needed. Source Location Privacy (SLP) plays a key role in prohibiting adversaries from tracing back this kind of data to its origin. In this paper we propose a SLP preserving system that leverages techniques from the well established Onion Routing paradigm. The system is specifically designed for resource constrained IoT devices, i.e., devices lacking computing power. It features combined encryption schemes and symmetric key exchanges via Elliptic-Curve Diffie- Hellman (ECDH). Our performance measurements, conducted on typical resource constrained IoT devices, show the feasibility of ORIOT and facilitate the integration into existing or planned IoT systems, depending on SLP features.

ORIOT: A Source Location Privacy System for Resource Constrained IoT Devices

In this demo paper we present the prototype of our fault injection testbed generator. Our tool empowers engineers to generate emulated SOA environments and to program fault injection behavior on diverse levels: at the network layer, at the execution level, and at the message layer. Engineers can specify the structure of testbeds via scripts, attach fault models, and generate running testbed instances from that. As a result, our tool facilitates the setup of customizable testbeds for evaluating fault-handling mechanisms of SOA-based systems.

/pdf/a-programmble-fault-injection-testbed-generator-for-soa-2q4hfyavwk.pdf

Schahram Dustdar

Papers

Data concern aware querying for the integration of data services

Towards Social Crowd Environments

System support and mechanisms for adaptive edge-to-cloud DNN model serving.

ORIOT: A Source Location Privacy System for Resource Constrained IoT Devices

A Programmble Fault Injection Testbed Generator for SOA