Kevins 40th birthday slide 2

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This autobiography spans 40 years of the author's life. Over four decades, the author shares their experiences and journey. In just a few sentences, the title provides the timeframe and perspective covered in the autobiography.

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This presentation was given to the Project Management Institute's Dr. Bird Chapter in Kingston Jamaica. It describes the journey undertaken by the protagonist in the book "Bill's Im-Perfect Time Management Adventure." In the third part of the book he must find a way to improve the skills of his team-members so that they can fulfill their mandate, and also avoid being laid off due to low productivity. He's forced to take some risks to realize this goal that brings him into direct confrontation with company policies and an employee who wants to see him fail. http://perfect.mytimedesign.com Update: Several months after this speech was delivered, I gave a speech at the PMISCC conference in Trinidad. The link to the contents (audio, slides and paper) are available here - http://perfect.mytimedesign.com/calling-all-project-managers/

Time Management for Project Managers - Lessons from Bill

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Успешный опыт ресоциализации заключенных в Полтаве

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Managing Problems in the Restorative Phase of Dental Treatment

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The Indian Manufacturing sector is at an important juncture today. Of late, the sector has been witnessing a boost with the launch of the “Make in India Campaign” that aims at promoting India as an important investment destination and a global hub for manufacturing. Since the last one year, there has been much activity, both at center and state levels, in the form of policy amendments, procedural simplifications and promotional measures to revive manufacturing growth. Over the next decade, the performance of the manufacturing sector will be critical for achieving India’s overall aspirations of growth and employment. Achieving these aspirations would not be easy and will require coordinated efforts to develop necessary enabling infrastructure, tap new avenues for growth and improve labour and capital productivity. It will also require to take a holistic and systemic view to bring in some fresh thinking and alignment between different stakeholders. CII has been strongly advocating for creating an enabling policy and regulatory framework for taking India’s manufacturing story forward. This issue of Policy Watch takes an in-depth look at the sectoral issues and has outlined some specific recommendations to reinvigorate the growth momentum in the Manufacturing sector.

CII Policy Watch: Manufacturing

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In the current issue of Economy Matters, we analyse the growth trends emanating out of China, Japan and US, in the section on Global Trends. In Domestic Trends, data trends in IIP, inflation and trade are analysed. The Sectoral Spotlight for this issue is on ‘Employment Potential of the Road Transport Sector’. In Focus of the Month, we evaluate the three recently released reports by DIPP, World Bank and World Economic Forum on State of Competitiveness in India.

Economy Matters: State of Competitiveness in India

Confederation of Indian Industry

This research paper proposes an algorithm to find association rules for incremental databases. Most of the transaction databases are often dynamic. Suppose consider super market customers daily purchase transactions. Day to day customer’s behaviour to purchase items may change and new products replace old products. In this scenario static data mining algorithms doesn't make good significance. If an algorithm continuously learns day to day, then we can get most updated knowledge. This is very much helpful in present fast updating world. Famous and benchmarked algorithms for Association rules mining are Apriory and FP- Growth. However, the major drawback in Appriory and FP-Growth is, they must be rebuilt all over again once the original database is changed. Therefore, in this paper we introduce an efficient algorithm called Binary Decision Tree (BDT) to process incremental data. To process continuously data we need so much of processing and storage resources. In this algorithm we scan data base only once by which we construct dynamic growing binary tree to find association rules with better performance and optimum storage. We can apply for static data also, but our main intension is to give optimum solution for incremental data.

BINARY DECISION TREE FOR ASSOCIATION RULES MINING IN INCREMENTAL DATABASES

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Time Management for Project Managers - Lessons from Bill

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imovie and logic screenshot images

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Kevins 40th birthday slide 2

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Kevins 40th birthday slide 2