botnet IEEE PAPER 2017






A Survey of Advances inBotnetTechnologies
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1 Abstract Botnets have come a long way since their inception a few decades ago. Originally toy programs written by network hobbyists, modern-day botnets can be used by cyber criminals to steal billions of dollars from users, corporations, and governments. This paper

A Stackelberg Game Model forBotnetData Exfiltration
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We first provide Lemma 1 showing that the urban security problem presented in (Jain et al. 2011)(see the Related Work section of the main paper) is a special case of thebotnet defense problem with uni-exfiltration under some specific conditions. Based on Lemma 1,

Understanding the MiraiBotnet
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Abstract The Miraibotnet , composed primarily of embedded and IoT devices, took the Internet by storm in late 2016 when it overwhelmed several high-profile targets with massive distributed denial-of-service (DDoS) attacks. In this paper, we provide a seven-month

Early Detection of In-the-WildBotnetAttacks by Exploiting Network Communication Uniformity: An Empirical Study
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Abstract Distributed attacks originating frombotnet -infected machines (bots) such as large scale malware propagation campaigns orchestrated via spam emails can quickly affect other network infrastructures. As these attacks are made successful only by the fact that hundreds

Towards effective reproduciblebotnetdetection methods through scientific workflow management systems
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Abstract. Even after nearly two decades of the creation of the firstbotnet , the detection and mitigation of their attacks remain one of the biggest challenges faced by researchers and cyber-security professionals. Although there are numerous studies related tobotnet

BotnetProtocol Inference in the Presence of Encrypted Traffic
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Abstract Network protocol reverse engineering ofbotnetcommand and control (C C) is a challenging task, which requires various manual steps and a significant amount of domain knowledge. Furthermore, most of todays C C protocols are encrypted, which prevents any

Understanding the MiraiBotnet
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Abstract The Miraibotnet , composed primarily of embedded and IoT devices, took the Internet by storm in late 2016 when it overwhelmed several high-profile targets with massive distributed denial-of-service (DDoS) attacks. In this paper, we provide a seven-month

Multi-Stream Fused Model: A Novel Real-TimeBotnetDetecting Model
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Abstract In the current computer era, spam, DDoS and phishing are familiar complications on the Internet. Once, attackers tended to make use of centralized high bandwidth associations to achieve their tasks. At present, even home users have high bandwidth

Poster: A Reputation-Based Resilient P2PBotnet
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Abstract Hybrid P2P botnets relying on automated peer-list exchange represent one of the emerging trends in advanced botnets [1, 2, 3]. Although such kinds of botnets are immune to index poisoning, theyre vulnerable to peer-list pollution attack. Defenders may use polluters

CHATBOT PLATFORM AS COMMANDCONTROL CHANNEL INBOTNET
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Page 13 Page 18. CHAPTER 3 Bot Enabled Platform :abotnetperspective As the number
of mobile apps increases while the size of our mobile screens decreases, were reaching
the limits of the mobileOS + appsparadigm. Its getting harder to download, set up,

business-intelligence IEEE PAPER 2017




Introduction toBusiness Intelligence , Analytics and Cognitive: Case Studies and Applications (COGS) Minitrack
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The purpose of this mini-track is to introduce case studies of applications ofbusiness intelligence , data analytics, cognitive-enabled smart services and digital solutions across industries and societies.Business intelligenceand data analytics have continued to make Introduction to Organizational Issues ofBusiness Intelligence ,BusinessAnalytics and Big Data Minitrack
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Recent developments and the evolution of data and technologies in thebusiness intelligence(BI) andbusinessanalytics (BA) space have given rise to new opportunities, innovation and challenges for individuals, organizations and society. The Internet of things

The Role ofBusiness Intelligencein the Internationalisation process of SMEs
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ABSTRACT This study aims to examine the subject ofBusiness Intelligence(BI) and the use of it in the internationalisation process of small and medium sized enterprises (SMEs). BI is a rising topic and, is due to its advantages, considered extremely important for Multinational

Business Intelligence(BI) Dashboard Utility
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Abstract-To collect, review, or analyse large amounts of data is often overwhelming for any organization. Equally Mahaonline has massive amounts of knowledge hold on in their databases collected over numerous applications. We will be developing a dashboard for

Extracting Structural Data ForBusiness IntelligenceUsing Cluster Data Mining
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Abstract Data mining is a knowledge extraction field that attempt to discover and store the related pattern from the large dataset. Extraction and storing the information is useful for many intellects. Storing of data has been enormously increasing day by dayin many

Business Intelligencefor Frugal, Reverse and Sustainable Innovation Success
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Abstract Businesses all over the world are realising the need to get focused on catering to their customers from different economies and social strata for sustainablebusinesssuccess. In this endeavor, they are compelled to come up with innovation and design marketing

An extension of the technology acceptance model forbusiness intelligencesystems: project management maturity perspective
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Abstract:Business intelligencesystems (BISs) refer to a wide range of technologies and applications useful for retrieving and analyzing a large amount of information with the goal to generate knowledge useful for making effectivebusinessdecision. In order to investigate

Evolution and Trends ofBusiness IntelligenceSystems: A Systematic Mapping Study
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AbstractBusiness Intelligenceor BI can be defined as an umbrella term describing a combination of applications, infrastructures, tools, processes, best practises and methods to gather, prepare, provide and analyse data to support decision making activities in

Optimization ofBusiness Intelligenceusing Data Digitalization and Various Data Mining Techniques
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Abstract Data mining is a technique to extract valuable data from huge volume of data. The main aim of data mining is to discover knowledge. Methods ofBusiness Intelligenceinclude retrieval of information, mining data, analysing statistical data and visualisation of data.

IMPLEMENTATION OFBUSINESS INTELLIGENCETO INCREASE THE EFFECTIVENESS OF DECISION MAKING PROCESS OF MANAGERS IN COMPANIES
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S8 Special Issue: Mobile banking: A service provider perspective Edited By: Mihail N. Dudin
IMPLEMENTATION OFBUSINESSINTELLIGENCETO INCREASE THE EFFECTIVENESS OF
DECISIONAbstract The most important purpose of this research is implementation ofbusiness

A SURVEY BASED RESEARCH FORBUSINESS INTELLIGENCEINTEGRA-TION WITH KNOWLEDGE MANAGEMENT
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ABSTRACT:Business Intelligenceis an arrangement of all innovations that assemble and investigate information to enhance decision making. InBusiness intelligence , knowledge is frequently characterized as the revelation and clarification of concealed, characteristic, and TakingBusiness IntelligencetoBusinessEducation Curriculum: Graduate Students Concerns
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Abstract.Business intelligencesystems are widely employed in industries. However, students concerns aboutBusiness Intelligencecourse are largely missed in thebusiness education curriculum. To take a proper decision onBusiness intelligenceintegration in

How to Utilize Big Data forBusiness Intelligencein the Stock Market
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ABSTRACT Big Data plays a vital role in the stock market, especially for traders who need real-time information. Due to the bulk and nature of such data, several data mining technologies have been developed and employed in their collection, classification, storage Factors influencing the implementation ofbusiness intelligenceamong small and medium enterprises in Lebanon
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The goal of the study presented in this paper is to examine the factors that influence implementation ofbusiness intelligence(BI) among small and medium enterprises (SMEs) in Lebanon. A survey involved 56 managers from the SMEs selected for the research.

TOWARD EFFECTIVE MARKETING STRATEGIES WITHBUSINESS INTELLIGENCE
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ABSTRACT Drastic changes in consumer markets over the last decades have increased the pressure and challenges for the retail industry. Although a huge data can be collected through the loyalty program, where customers activities can be tracked, many enterprises

Analysis of Maturity Models forBusiness Intelligenceand Analytics
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Abstract: The paper presents the evolution ofBusiness Intelligenceand Analytics (BI A) in the corporate world and presents a comparative analysis of various BI A maturity models. Understanding the level of maturity of BI A capability in an organization can facilitate

SELECTEDBUSINESS INTELLIGENCEMETHODS FOR DECISION-MAKING SUPPORT IN A FINANCE INSTITUTION
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Abstract: This article deals with decision-making support methods implementation in a medium size financial company with international operations. The objective of this article is to show the abilities of these methods to precise decision-making of management. At the

Business Intelligenceand Data Analysis in an Adaptive Web-Based Integrated Learning Environment
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4. Data warehause Data warehouse layer integrates data from the ETL layer and stores it into database-operational data store (ODS). In addition, the data stored in ODS is volatile, which means it can be over-written or updated with new data that flow into ODS (there arent

EMOTIONALINTELLIGENCEAND SOCIAL SUPPORT AS DETERMINANTS OF ENTREPRENEURIAL SUCCESS AMONGBUSINESSOWNERS IN ONITSHA
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ABSTRACT The study investigated the role of emotionalintelligenceand social support as determinants of entrepreneurial success amongbusinessowners in Onitsha metropolis, Nigeria. The study adopted a cross-sectional survey design. One hundred and seventy-four

Business IntelligenceDashboard Implementation on a Travel Agency in Jakarta
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Abstract Information is growing at an alarming rate. As the development of information, organizations need to manage them and make them can be processed are growing as well. So this makes the problem to get the right information at the right place for the right people.

BusinessAnalytics (BA): Core ofBusiness Intelligence(BI)
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AbstractBusinessanalytics (BA) is the practice of iterative, methodical exploration of an organizations data with emphasis on statistical analysis.Businessanalytics is used by companies committed to data-driven decision making. It is used to gain insights that inform

Ratings success factors ofbusiness intelligencesystems with fuzzy approach
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Abstract: Since the most important decision-making and decision-making requires an administrator for the organizationBusiness intelligencesystems that analyze large volumes of information and helps all levels of management for decision-making The best option

CUSTOMER RELATIONSHIP MANAGEMENT ANDBUSINESS INTELLIGENCE
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Abstract Customer Relationship Management is all about optimizing the customer interactions and about informing every transaction with a customers information to make each experience helpful to develop customer strategy.Business Intelligenceis designed to

DelegationIntelligence : The Next Frontier for MakingBusinessSuccess
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Abstract. Delegation is at the centre of anybusinessprocess. It is also a core part of any successfulbusiness , manufacturing, decision making, people, and society. Delegation Intelligence(DI) is about how to automate and optimize delegation activities and tasks for

Business Intelligence Predictive Analytics In Big Data For Big Insights
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ABSTRACT A forecast from International Data Corporation (IDC) sees the big data technology and services market growing at a compound annual growth rate (CAGR) of 23.1 per cent over the 2014-2019 forecast period with annual spending reaching USD 48.6

Comparative Analysis of Open sourceBusiness Intelligencetools for Crime Data Analytics
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Abstract: Law enforcement agencies like other organizations are facing a difficult task of handling and making use of crime data which is in different formats that is generated every day which would otherwise help them in effective crime management. Developing a low cost The 6th European Business Intelligence and Big Data Summer School (eBISS 2016) took place in Tours, France, in July 2016. Tutorials were given by renowned experts and covered recent and various aspects of business intelligence and big data. This volume contains the

Which factors are significant for obtainingbusiness intelligencesuccess in the public sector?
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Abstract. The objective of this paper is to present a brief introduction to the doctoral thesis of the author. The content of the thesis identifies the critical success factors for obtaining business intelligencesuccess, measured as use, user satisfaction, net benefits and

USINGBUSINESS INTELLIGENCESYSTEMS FOR ENTERPRISE ARCHITECTURE VISUALIZATION
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ABSTRACT In todaysbusinessthe optimization of the alignment betweenBusinessand IT can be assessed as a critical success factor for enterprises. For this reason thebusiness management of an enterprise and the Enterprise Architecture Management (EAM) of the

The Effect of Clarity ofBusinessVision and Top Management Support on the Quality ofBusiness IntelligenceSystems: Evidence from Indonesia
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Abstract This study aims to examine the effect of clarity ofbusinessvision and top management support on the quality ofbusiness intelligencesystems at financial institutions in Medan City, North Sumatra, Indonesia. A survey conducted on 54 operational managers

BUSINESS INTELLIGENCEFOR COST ANALYSIS IN CONSTRUCTION PROJECT
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ABSTRACT Cost overrun in the field of project construction is still a global issue, and it is a challenge to seek for solution from various scientific discipline including information technology. This thesis aims to design abusiness intelligenceapplication model for

EMPLOYMENT OFBUSINESS INTELLIGENCEMETHODS FOR COMPETENCES EVALUATION INBUSINESSGAMES
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Abstract: This research involves justification ofBusiness Intelligencemethods usage in order to analyze the outcome of computer-basedbusinessgames. In such games, it is necessary to evaluate efficiency of players actions that is associated with the development of

Task characteristics that fit use ofBusiness Intelligence
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Abstract. We present a literature review that identifies a gap inbusiness intelligence knowledge regarding the fit between technology and the tasks solved using the technology. We propose a model that frames the fit between task characteristics and the use ofbusiness

An Investigation ofBusiness IntelligenceImplementation Success Level by the Use of Expert Systems
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Abstract The present study aims at the survey of thebusiness intelligenceimplementation success rate by making use of an expert system. In the todays rapidly changingbusiness environment, the organizations need for usefulbusinessinformation is not only vital for

Importance of OLAP inBusiness Intelligence
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Abstract The key element to success is the effective decision making through accurate information. The data is neither good nor useful if it does not provide accurate information. However, intelligent information is always required for analyzing data properly.Business

Evaluation of Telecom Data Analysis UsingBusiness Intelligence
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Abstract Nowadays the telecom industry is sitting on Terabytes of data. Itsa time to dig the data and get some valuable information. In order to ensure a smooth path in customer journey, without any friction points it is essential to estimate customer effort.Business The Concept ofBusiness IntelligenceStrategy
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Abstract: The article addresses the theoretical problem ofbusiness intelligencestrategy. The issue is closely related to the strategy of a company. In the adopted terminological convention the author proposes the main directions ofbusiness intelligencestrategy

ANALYZING RELATIONSHIP BETWEEN ORGANIZATIONAL CHARACTERISTICS TOWARDBUSINESS INTELLIGENCEIN MULTINATIONAL CORPORATION
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Abstract Lately, advertise energy towardbusiness intelligenceis overpowering (Evelson, 2012; Gartner, 2013). This is apparent with expanding parades ofBusiness Intelligence providers and also raising number of associations, particularly vast ventures that either have

What Can Come out Controlling A Chance for the PerfectBusiness Intelligence
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The history of the Controlling began in 1930 in the USA. Its birth and development was partly influenced by the Great Depression. One can say that the core of Controlling is a regulatory principle that has been known in the engineering sciences for centuries, and is the basis of

SENTIMENTAL ANALYSIS FORBUSINESS INTELLIGENCEUSING PRODUCT REVIEWS
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Abstract Opinion mining also known as sentiment analysis which aims to analyze peoples opinions, sentiments, and attitudes towards entities such as products, services, and their attributes. The vast existing system extracts opinion features only from the single domain. In

A Survey onBusiness IntelligenceSolutions in Banking Industry and Big Data Applications
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Abstract owadays, the economic and social nature of contemporarybusinessorganizations chiefly banks binds them to face with the sheer volume of data and information and the key to commercial success in this area is the proper use of data for making better, faster and

Utilization ofbusiness intelligenceprinciples for energy data processing
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Abstract The central goal of this work will be the development of a software tool which will be used for data analysis by Energocentrum PLUS, sro, within the context of the newly emerging field of Energyintelligence . EnergyIntelligencedescribes using big data analysis

A Performance Analysis ofBusiness IntelligenceTechniques on Crime Prediction
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Abstract-Law Enforcement agencies are faced with a problem of effectively predicting the likelihood of crime happening given the past crime data which would otherwise help them to do so. There is a need to identify the most efficient algorithm that can be used in crime The Legal and Ethical Dimension ofBusiness Intelligence
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Abstract: The subject of the research is the legal and ethical dimension ofbusiness intelligence . The author argues thatbusiness intelligenceis a category of open source intelligencewhich goes only slightly beyond the sphere of advancedbusinessanalytics. In The Editor (s)(if applicable) and The Author (s) 2017 This work is subject to copyright. All rights are solely and exclusively licensed by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations,

Selected Aspects ofBusiness IntelligenceIT systems
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Abstract. The implementation ofBusiness Intelligencesystems within a company facilitates more effective advertising campaigns and continuous growth of its offer of products or services. For a production company the introduction of a new product onto the section of the BUSINESS INTELLIGENCEIN THE ECONOMIC MANAGEMENT OF ORGANIZATION
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ABSTRACT The study identifies the necessary and sufficient conditions for the system of economic management for ensuring the uniformity of the process of developing cost effective management decisions based onbusiness intelligencetechnologies. Authors Abstract Inventory management plays a critical role to track inventory levels, orders, and sales of the retailingbusiness . Effective inventory management is a capability necessary to lead in the global marketplace. In the current retailing market, a huge amount of data

OF THE METHODS AND A MODEL FOR THE EVALUATION OF THE READINESS IN IMPLEMENTINGBUSINESS INTELLIGENCEPROJECTS: A HYBRID
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Abstract In recent years,Business Intelligence(BI) systems have consistently been rated as one of the highest priorities of Information Systems (IS) and ofbusinessleaders. BI allows firms to apply information to support their processes and decisions by combining its

Startup Weekend Impact onBusiness Intelligence
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Startup Weekend is actually an educational event for people. This event is the breeder of business intelligence . in the other words, Entrance of this educational event are the people that have creative idea in mind to set up abusinessand they want to do it. At Startup Welcome toBusiness IntelligenceTools for Small Companies: A Guide to Free and Low Cost Solutions.In this book we want to propose multiple options to implement a BI project based on a simple idea, implement an Agile system, easy to manage using open source

ARTIFICIALINTELLIGENCE -THE ENGINE DRIVING THE NEXT WAVE OF TRANSFORMATION INBUSINESS
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ABSTRACT With the rapid economic growth of internet and information systems, digital transformation is becoming a hot topic for corporate across the globe. Improved customer awareness and widespread education accomplishments has increased the use of digital

Business Intelligencein Agriculture A Practical Approach
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Timely access to information is one of the important factors for successful management and decision-making in any kind of organization. The amount of data that need to be processed in order to get useful information is significantly increased due to a more intensive use of

Version 1.1Business IntelligenceStrategy
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Executive SummaryBusiness intelligence(BI) is an umbrella term that refers to a variety of software applications used to analyze an organizations data. BI as a discipline is made up of several related activities, including querying, reporting, exploring data, predictive It is often said that change is the only constant in the modernbusinessworld. In fact, this idea has been with us for centuries. In 1531, writing in his Discourses on Livy, Niccolò Machiavelli observed that, Whosoever desires constant success must change his conduct

SpiritualIntelligenceand Employability Skills An Empirical Study amongBusinessSchool
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Abstract India witnessed a mushrooming growth in management education and there has been a remarkable focus and success on building capacity in this arena. Formal training in businessframeworks and concepts along with industrial exposure were determining factors

Assesment of emotionalintelligencelevel of employees in abusinesshotel in Istanbul-Turkey
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Abstract The survey carried out at conferencefair hotel in Istanbul where?Emotional Intelligence ? level of employees were evaluated through an analytical survey. The survey consisted of randomly selected 110 employees in total. The employees were selected from

CulturalIntelligence : Management andBusinessin the New Millennium: Critical Perspective
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Abstract: This is a theoretical paper that highlights the practical issues related to the understanding and implementing the concept of culturalintelligence . CulturalIntelligence assumes greater importance in an era of globalization and working across cultures where as

Using fuzzy sets in a data-to-text system forbusinessserviceintelligence
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Abstract. We describe the use of fuzzy sets within MonitorSI-Text. It is a real and operative data-to-text system that generates textual information about the operational state of Information Technology services, monitored by the commercial software platform Obsidian.

ARTIFICIALINTELLIGENCE INNOVATION MANAGEMENT FORBUSINESSLEADERS
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ArtificialIntelligencefor Dummies . An interesting question for a very skilled and insightful person and somewhat reminding of the internet hype in the 90s when firms made fortunes via fund raising and spectacular non-working projects for the new economy. Is AI (Artificial


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