Read Modern Indian History book reviews & author details and more at Modern Indian History Paperback – 7 Dec by Mohammad Tarique ( Author). MODERN INDIAN HISTORY eBook: MOHAMMAD TARIQUE: goudzwaard.info: Kindle Store. Mohammad Tarique is the author of Modern Indian History ( avg rating, 10 ratings, 1 review, published ), MODERN INDIAN HISTORY ( avg rating, .
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Modern Indian History 1st Edition by Mohammad Tarique from goudzwaard.info Only Genuine Products. 30 Day Replacement Guarantee. Free Shipping. Cash On. Modern Indian History. Author: Mohammad Tarique. Availability: Out Of Stock. Key Features Key Features: Divided into 2 parts - Colonial Rule and Its Impact. Study Modern India History by Mohammad Tarique who has coached hundreds of IAS aspirants in the last 22 years including many rankers from 1 to
In this topic various question types that could be asked are listed followed by detailed explanation of each type and tips to answer them. The basic premise followed in the Manual for Decision Making is that certain Principles or Values are tested in the question and a corresponding Rationale or Reasoning is is required to pick the correct option. Some of the often asked question types like Probability, Permutation and Combination, Venn Diagram, Distance and Time, Family Relations are also covered well in this book.
But this is not all. If you want to refer just one book for Prelims paper 2, go with this one. I hope this review of the best reference manuals for Prelims paper 1 and 2 will be useful to you.
I would like to hear your responses and experiences with these and other books in the comments below. I have General Studies Paper 1 and 2 from apart from the other books which you had suggested. Do I need to download these two books to update myself of all the recent developments or are the books enough? Are there any other books I can download to update myself of all the recent and important developments?
If you already have the version you need not download the latest edition as it has the same content more or less.
Hello sir, I am a pre-final year engineering student and an aspirant of civil service. I am from computer science branch and aiming for civil service examination. I have no idea how to start the preparation. Can u please guide me in this reference. I want your suggestion regarding following issues- 1 I should start my preparation with respect to Mains examination or Pre-lims examination.
Dear sir, i am preparing for csat There is no compulsion. If you feel all the info is present in the individual books you can skip reference manual.
So, should I also busy TMH paper 2 manual as well? Is there any difference? If you already have a book for CSAT, no need to download a new one. I have already download a unique quittenssence manual for CSAT. I am a working person and now finally decided to prepare for Civil Services.
I have few doubts i mind please clear them for me-. Sir, I am in final year of b-tech computer science branch.
Please help me out in starting the preparation and please help me out in selecting optional subjects. I am a newcomer to civil services exams. TMH manuals are sufficient for prelims preparation?
Sir i belongs to tamilnadu? The reason i am asking is that,i am in dilemma whether to download TMH or wait till the is published?. Right now, i am in my college,and will appear in CSE ,so i can wait a little longer. Hllo sir,,i m studying mbbs 1st year in mkcg medical colg,berhampur,odisha. Sir, I am an electrical engineering student.
Tata Mcgraw Hill Books Free Can you please suggest me if taking electrical as my optional is a good idea or not? Please guide us. Which is website more good for current affairs. HELLO SIR…kindly tell me about the arihant gs manaul for ias version …would it be good to study it,,,,leaving tmh,pearson as i found it very attractive…. How to start with? The Instant Attraction 5. Metals and Non-metals 6. Carbon and Its Compounds 8.
Some Branches of Chemistry 9. The book is easily available on site. General Science for Civil Services Preliminary Examination Paper - 1 1st Edition, is conceived and set by a team of renowned academicians. He is the former Dean of St. He taught physics in the college for almost 36 years. She has an experience of teaching organic chemistry in the college for over 30 years.
Then you can start reading Kindle books on your smartphone, tablet, or computer - no Kindle device required. Would you like to tell us about a lower price? If you are a seller for this product, would you like to suggest updates through seller support?
Any structural change in data demands re-modelling and re-indexing. This paper presents an indexing model that addresses the challenge.
Data is modelled as graph in accordance to object-oriented principles such that the system learns the possible queries that can be executed on the indexed data.
The result is a framework that enables applications to search domain objects, their relationships and related objects using simple APIs without the structural knowledge of underlying data. Formulation of a query 2.
Execution of the query to extract results. How does a traditional search application tackle query formulation?
Traditional search application left query formulation to the user; it either does not offer or offers little help in this area. In a typical search application users either need to have knowledge of the kind of queries supported or will need to manually filter through the results to extract relevant data.
Having the search application prompt the user with relevant queries that can be answered not only lowers the burden on the user but also helps the search application to provide relevant results. How does a traditional search application tackle extracting results? Traditional search application deploys text based information retrieval techniques to retrieve results and hence only explicit results are returned.
Having search engines consider these relations will enable users to discover more information and gain more knowledge — the most valuable asset in knowledge economy. All these concepts focus on the relationships that exist between data and not just the data itself. As applications running on Internet begin to embrace these concepts, it becomes imperative for search applications to also do the same. The rest of the paper is structured as follows: Section 2 describes the data model.
Section 3 describes the core components of the system. Section 4 includes a reference Java implementation. Section 5 describes the APIs exposed by graphite. Section 6 briefly describes a graphite backed search application.
Object Oriented Principles OOP are widely used for developing software applications as it closely models the real world and has an inherent graph structure, which we choose to harness. The following entities are modeled in graphite: 1. Domain Class — defined as Class Node 2. Domain Property — defined as Property Node 3. Class Node Domain Class In an object-oriented environment, application is modeled as classes with certain properties and behavior. For e. A blogging application will have objects of type Blog, Author, Topic etc.
Graphite looks into the structure of a Class Node to formulate queries that a user might want to ask about objects of this class. It has two properties: 1. Range — The type of the property is defined as range. Domain — The class to which the property belongs is defined as domain. Person class see figure 2 will have properties such as email, location etc. Figure 2: Property Node Structure 2. Each object is represented by a node and has outward property links whose name is same as that of the property name.
Figure 3: Object Node Structure 3. Query Advisor — Formulates queries that could be answered by underlying data.
Object Searcher — Executes queries formulated by query advisor on indexed data. API — Interface for applications to interact with above three components. Indexing is a two-step process of creating nodes and bonds between them. In the first stage all defined domain classes and their respective properties are added to the index, i.
Class Nodes and Property Nodes are created. In the second stage instances of an indexed class are added to the index in conformance with the class structure, i.
Object Nodes are created. Query Advisor This is the gateway to access queries that can be run on the index created by the Indexer. Resultant query objects have two types of query embedded in them: 1. Human Readable Query- An English sentence that can be understood by a non-technical end user.
Machine Readable Query- A SQL like query that is understood and can be executed by the underlying store, is empty for incomplete queries. Query Advising is a multi-step process to create possible queries that can be executed on the indexed data.
First stage is the seeding stage wherein a literal is fed to the Query Advisor. Object Searcher Object Searcher takes a query object as input and returns a list of object nodes that satisfies the given query.
It also takes an object node as input and returns its connections, along with the connection strength, for a given level and a given query. Architecture Figure 4: Architecture 4. Store This component manages the store and retrieval of nodes. Nodes are persisted either in flat files or database.
We have chosen neo4j  — a graph database to persist indexed data. Neo4j has support for property graphs, where each node and relationship can have arbitrary properties. To support the ability to have machines interpret data and suggest queries, we have to have a standard and hence we choose RDF  graph over property graph. RDF graph has the following advantages: 1. Since RDF is schema less, addition and deletion of indexed data does not demand changes in Graphite application, thus reducing development and maintenance effort for graphite applications.
All graphite applications can seamlessly interact and collaborate with each other to produce better search results, thus allowing search application to expand their search horizon without the need for additional integration effort.
Object Oriented Principles seamlessly get translated into RDF graph, hence making it easy for the application developers to develop graphite applications. Nodes at Layer1 are literals and indexed using Lucene for faster retrieval. Layer1: The top layer consists of string and number nodes — objects of primitive types. Layer2: The middle layer consists of class and property nodes. Layer3: The bottom most layer consists of object nodes.
Nodes of a given layer can be linked bonded with another node residing in the same or a different layer. These object nodes are linked to nodes, in Layer1 by name link, in Layer2 by type link, in Layer3 by property links.