Friday, 6 September 2019


Designed as a textbook for undergraduate and postgraduate students of journalism, mass communication, visual communi-cation, electronic media and other related media courses, this compact text provides a detailed description of the rules, acts and ethics concerning print, electronic, film and advertising media as prevalent in India.

The book begins with the history of media law in India and discusses the specific provisions in the Constitution of India which are essential for a journalist to know. It then goes on to define the concepts of freedom of media, defamation and Intellectual Property Rights. Besides, the text discusses in detail the provisions of the Indian Penal Code and the Criminal Procedure Code relevant to the media. In addition to covering different types of cyber crimes such as hacking, cracking and e-mail bombing, it includes regulations related to film media and advertising. Finally, the book throws light on media law concerning women and children. The book also includes several important cases to enable students to relate various acts and regulations to real-life situations.

Besides students, journalists and other media professionals who cover courts and law-related beats would also find this book immensely valuable.

Appendix I
Appendix II
Appendix III

About the Author
M. NEELAMALAR, M.A., M.Phil., Ph.D., is presently working as Assistant Professor in the Department of Media Sciences, Anna University, Chennai. Having a total teaching experience of 16 years and two years’ experience in the media industry, she has published research articles in various national/international journals. Dr. Neelamalar has presented papers in conferences at national as well as international levels, and for this purpose, she has visited countries such as the United States, the United Kingdom, Hong Kong, Canada and Mauritius. The areas of her interest include War and Media, Women and Media, Social Media, and Children and Media. Besides being the author of four books on media including Media Law and Ethics (published by PHI Learning), she has also published a fiction book.

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6 Career Options for Business Lovers

Business is one of the reasons people around the world are employed today. Thanks to entrepreneurs of both small, medium and mega-sized businesses, professionals from a range of different backgrounds are able to come together and use their skills and talents to help grow businesses.

The good thing about business is that there is a range of different career paths you can follow that would likely fit into any business, no matter what the business niche is. With that being said, here are 6 career options for anyone who has a passion for business.

1. Entrepreneur
To begin, one of the most common routes for business lovers to follow is becoming an entrepreneur. This is where you get to establish a business of your own and put your plans in motion. Becoming an entrepreneur isn’t the easiest route to follow, but it can definitely be one that is regarding. If you’re wondering what it takes to become a business owner, find a few steps below.

• Choose a Niche: There are a million and one businesses out there that you could start, so choosing one would be the first step to take. You may be wondering how you’re supposed to narrow down your options when you have so many, but it boils down to interest and profitability. You want to start a venture that is relevant as well as one that you have a passion for.

• Do Research: Research is an essential piece of the puzzle when it comes to business. You want to know that you have the competence needed to take the right business-related steps moving forward. There are so many resources out there that can give you insight into how to run a business, what steps you need to take and the tools you’re going to need along the journey. It’s left to you to make use of them and use it to get ahead.

• Build a Network: If you’ve never needed a network before, when you become an entrepreneur you’re going to need one. It takes people from different walks of life to help you grow your business, so begin making long-lasting connections. You can do this both on and offline and remember to add just as much value as you intend on taking.

2. Statistician
If you’re someone who prefers the stability of formal employment and would rather contribute to a growing business as opposed to run one, then consider becoming a statistician. This is an ideal job if you happen to be good at mathematics and enjoy dissecting data.

In order to do well in this career, you’d need to complete a bachelor’s degree in statistics, mathematics, engineering, economics or computer science. Once you’ve done this, the next best course of action would be to get your MS in statistics online from Michigan Tech or any other reputable institution. After doing this, you could decide to get further education or go right into getting work experience and looking for job opportunities.

As a statistician, your job would likely consist of applying your knowledge to design surveys and experiments, collecting, processing and analyzing data, as well as analyzing and interpreting data.

3. Business Analyst
Another role to consider in the world of business is becoming a business analyst. This is apparently one of the most searched jobs in America and has been on the list for top jobs. To venture down this path, you’d need to first decide what field you want to apply your skills in, whether it be insurance, health or finance. As a business analyst, your job will be to spot barriers to progress and find ways to overcome them.

In order to become qualified, acquiring a degree in computer science, information technology or accounting would be ideal. You could then progress to start with an entry-level position as a business analyst. To strengthen your position, you could get certifications from places such as the International Institute of Business Analysis, The Institute of Management Consultants, or The Chartered Institute for IT.

4. Management Consultant
If you’d rather do something more flexible in the business world, you should consider becoming a consultant. In case you’re wondering what this means, you’re more or less a problem solver for complex business structures out there. You’ll be essentially helping organizations improve their overall performance and operations.

Some core skills that you’re going to need is analytical skills as well as strong communication skills. In addition to this, listening skills and relationship building are equally important. A lot of your time will consist of analyzing data and then putting together a story as well as recommendations for your client.

5. Accountant
If you happen to be good when it comes to numbers, then you should consider becoming an accountant. Almost every business needs one, meaning you would play a relevant role in any type of organization. The journey to becoming an accountant consist of getting a degree and then becoming a certified accountant.

Business can be so exciting, especially as you’re able to contribute to growing a thriving business. Every little contribution counts, so it’s about developing your skills and gaining experience so that you can use it to develop your career. As an entry-level accountant, you can make anything from $26-$44 per hour, and there is always room for growth.

6. Social Media Managers
 In the 21st century, social media managers play a major role in the growth of a business. If you are skilled in that area, then you should find an abundance of opportunities in businesses who are looking to make their online presence more pervasive. As a social media manager, you should be somewhat tech savvy, be able to use a range of different tools and know how to build a community online. You need to be able to give your clients or employer results and show how social media is positively impacting their business.

The good thing about being a social media manager is that you could decide to be self-employed and get your own clients or work with a business as an employee if you’d prefer that.

Thursday, 5 September 2019

YESHA YELENA (Edited by)
 Data Mining Kargupta

Data Mining, or Knowledge Discovery, has become an indispensable technology for business and researchers in many fields. Drawing on work in such areas as statistics, machine learning, pattern recognition, databases, and high performance computing, data mining extracts useful information from the large data set now available to industry and science. This collection surveys the most recent advances in the field and charts directions for future research.

The first part discusses topics that include distributed data mining algorithms for new application areas, several aspects of next-generation data mining systems and applications, and detection of recurrent patterns in digital media. The second examines such topics as bio-surveillance, marshalling evidence through data mining, and link discovery. The third focuses at scientific data mining; and the topics include mining temporally-varying phenomena, data sets using graphs, and spatial data mining. The last part considers web, semantics and data mining, examining advances in text mining algorithms and software, semantic webs, and other subjects.

The book serves as a supplementary text for the students of Information Technology.

It should also be of interest to the professionals of knowledge management.

Pervassive, Distributed, and Stream Data Mining
1.     Existential Pleasures of Distributed Data Mining
Hillol Kargupta and Krishamoorthy Sivakumar

2.     Research Issues in Mining and Monitoring of Intelligence Pata
Alan Demers, Johannes Gehrke, and Mirek Riedewald

3.     A Consensus Framework for Integrating Distributed Clusterings Under Limited Knowledge Sharing
Joydeep Ghosh, Alexander Strehl, and Srujana Merugu

4.     Design of Distributed Data Mining Applications on the Knowledge Grid
Mario Cannataro, Domenico Talia, and Paolo Trunfio

5.     Photonic Data Services: Integrating Data, Network and Path Services to Support Next Generation Data Mining Applications
Robert L. Grossman, Yunhong Gu, Dave Hanley, Xinwei Hong, Jorge Levera, Marco Mazzucco, David Lillethun, Joe Mambretti, and Jeremy Weinberger

6.     Mining Frequent Patterns in Data Streams at Multiple Time Granularities
‘Chris Giannella, Jiawei Han, Jian Pei, Xifeng Yan, and Philip S. Yu

7.     Efficient Data-Reduction Methods for On-Line Association Rule Discovery
Hervé Bronnimann, Bin Chen, Manoranjan Dash, Peter Haas, and Peter Scheuermann

8.     Discovering Recurrent Events in Multichannel Data Streams Using Unsupervised Methods
Milind R. Naphade, Chung-Sheng Li, and Thomas S. Huang

Counterterrorism, Privacy, and Data Mining
9.     Data Mining for Counterterrorism
Bhavani Thuraisingham

10.   Biosurveillance and Outbreak Detection
Paola Sebastiani and Kenneth D. Mandl

11.   MINDS — Minnesota Intrusion Detection System
Levent Ertöz; Eric Eilertson, Aleksandar Lazarevic, Pang-Ning Tan. Vipin Kumar, Jaideep Srivastava, and Paul Dokas

12.   Marshalling Evidence Through Data Mining in Support of  Counter Terrorism
Daniel Barbara. James J. Nolan. David Schum, and Arun Sood

13.   Relational Data Mining with Inductive Logic Programming for Link Discovery
Raymond 1. Mooney. Prem Melville. Lappoon Rupert Tang. Jude Shavlik, Inês de
Castro Dutra. David Page and Vitor Santos Costa

14.   Defining Privacy for Data Mining
Chris Clifton. Murat Kantarctoglu, and Jaideep Vaidya

Scientific Data Mining
15    Mining Temporally-Varying Phenomena in Scientific Datasets
Raghu Machiraju, Srinivasan Parthasarathy, John Wilkins, David S. Thompson, Boyd Gatlin, David Richie, Tat-Sang S. Choy, Ming Jiang, Sameep Mehta, Matthew Coatney, Stephen A. Barr, and Kaden Hazzard

16    Methods for Mining Protein Contact Maps
Mohammed J. Zaki, Jingjing Hu, and Chris Bystroff

17    Mining Scientific Data Sets using Graphs
Michihiro Kuramochi, Mukund Deshpande, and George Karypis

18    Challenges in Environmental Data Warehousing and Mining
Nabil R. Adam, Vijayalakshmi Atluri, Dihua Guo, and Songmei Yu

19    Trends in Spatial Data Mining
Shashi Shekhar, Pusheng Zhang, Yan Huang, and Ranga Raju Vatsavai

20    Challenges in Scientific Data Mining: Heterogeneous, Biased, and Large Samples
Zoran Obradovic and Slobodan Vucetic

Web, Semantics, and Data Mining
21.   Web Mining — Concepts, Applications, and Research Directions
Jaideep Srivastava. Prasanna Desikan, and Yipin Kumar

22    Advancements in Text Mining Algorithms and Software
Svetlana Y. Mironova, Michael W. Berry. Scott Atchley. and Micah Beck

23    On Data Mining, Semantics, and Intrusion Detection: What to Dig for and Where to Find It
Anupam Joshi and Jeffrey L. Undercoffer

24.   Usage Mining for and on the Semantic Web
Bettina Berendt. Gerd Stumme, and Andreas Hotho


About the Authors
HILLOL KARGUPTA is teaching in the Department of Computer Science and Electrical Engineering at the University of Maryland Baltimore County. The first author is also affiliated with AGNIKLLC in Columbia.

ANUPAM JOSHI is teaching in the Department of Computer Science and Electrical Engineering at the University of Maryland Baltimore County. The first author is also affiliated with AGNIKLLC in Columbia.

Krishnamoorthy Sivakumar is an Assistant Professor at the School of Electrical Engineering and Computer Science, Washington State University.

Yelena Yesha is teaching in the Department of Computer Science and Electrical Engineering at the University of Maryland Baltimore County. The first author is also affiliated with AGNIKLLC in Columbia.

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